week4_homework_1_sefa.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns #sefa kocakalay"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already up-to-date: scikit-learn in s:\\anaconda\\lib\\site-packages (0.23.2)\n",
      "Requirement already up-to-date: scipy in s:\\anaconda\\lib\\site-packages (1.5.2)\n",
      "Requirement already up-to-date: matplotlib in s:\\anaconda\\lib\\site-packages (3.3.2)\n",
      "Requirement already satisfied, skipping upgrade: numpy>=1.13.3 in s:\\anaconda\\lib\\site-packages (from scikit-learn) (1.18.1)\n",
      "Requirement already satisfied, skipping upgrade: threadpoolctl>=2.0.0 in s:\\anaconda\\lib\\site-packages (from scikit-learn) (2.1.0)\n",
      "Requirement already satisfied, skipping upgrade: joblib>=0.11 in s:\\anaconda\\lib\\site-packages (from scikit-learn) (0.17.0)\n",
      "Requirement already satisfied, skipping upgrade: kiwisolver>=1.0.1 in s:\\anaconda\\lib\\site-packages (from matplotlib) (1.1.0)\n",
      "Requirement already satisfied, skipping upgrade: certifi>=2020.06.20 in s:\\anaconda\\lib\\site-packages (from matplotlib) (2020.6.20)\n",
      "Requirement already satisfied, skipping upgrade: cycler>=0.10 in s:\\anaconda\\lib\\site-packages (from matplotlib) (0.10.0)\n",
      "Requirement already satisfied, skipping upgrade: pillow>=6.2.0 in s:\\anaconda\\lib\\site-packages (from matplotlib) (7.0.0)\n",
      "Requirement already satisfied, skipping upgrade: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in s:\\anaconda\\lib\\site-packages (from matplotlib) (2.4.6)\n",
      "Requirement already satisfied, skipping upgrade: python-dateutil>=2.1 in s:\\anaconda\\lib\\site-packages (from matplotlib) (2.8.1)\n",
      "Requirement already satisfied, skipping upgrade: setuptools in s:\\anaconda\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib) (45.2.0.post20200210)\n",
      "Requirement already satisfied, skipping upgrade: six in s:\\anaconda\\lib\\site-packages (from cycler>=0.10->matplotlib) (1.14.0)\n",
      ".. _boston_dataset:\n",
      "\n",
      "Boston house prices dataset\n",
      "---------------------------\n",
      "\n",
      "**Data Set Characteristics:**  \n",
      "\n",
      "    :Number of Instances: 506 \n",
      "\n",
      "    :Number of Attributes: 13 numeric/categorical predictive. Median Value (attribute 14) is usually the target.\n",
      "\n",
      "    :Attribute Information (in order):\n",
      "        - CRIM     per capita crime rate by town\n",
      "        - ZN       proportion of residential land zoned for lots over 25,000 sq.ft.\n",
      "        - INDUS    proportion of non-retail business acres per town\n",
      "        - CHAS     Charles River dummy variable (= 1 if tract bounds river; 0 otherwise)\n",
      "        - NOX      nitric oxides concentration (parts per 10 million)\n",
      "        - RM       average number of rooms per dwelling\n",
      "        - AGE      proportion of owner-occupied units built prior to 1940\n",
      "        - DIS      weighted distances to five Boston employment centres\n",
      "        - RAD      index of accessibility to radial highways\n",
      "        - TAX      full-value property-tax rate per $10,000\n",
      "        - PTRATIO  pupil-teacher ratio by town\n",
      "        - B        1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town\n",
      "        - LSTAT    % lower status of the population\n",
      "        - MEDV     Median value of owner-occupied homes in $1000's\n",
      "\n",
      "    :Missing Attribute Values: None\n",
      "\n",
      "    :Creator: Harrison, D. and Rubinfeld, D.L.\n",
      "\n",
      "This is a copy of UCI ML housing dataset.\n",
      "https://archive.ics.uci.edu/ml/machine-learning-databases/housing/\n",
      "\n",
      "\n",
      "This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University.\n",
      "\n",
      "The Boston house-price data of Harrison, D. and Rubinfeld, D.L. 'Hedonic\n",
      "prices and the demand for clean air', J. Environ. Economics & Management,\n",
      "vol.5, 81-102, 1978.   Used in Belsley, Kuh & Welsch, 'Regression diagnostics\n",
      "...', Wiley, 1980.   N.B. Various transformations are used in the table on\n",
      "pages 244-261 of the latter.\n",
      "\n",
      "The Boston house-price data has been used in many machine learning papers that address regression\n",
      "problems.   \n",
      "     \n",
      ".. topic:: References\n",
      "\n",
      "   - Belsley, Kuh & Welsch, 'Regression diagnostics: Identifying Influential Data and Sources of Collinearity', Wiley, 1980. 244-261.\n",
      "   - Quinlan,R. (1993). Combining Instance-Based and Model-Based Learning. In Proceedings on the Tenth International Conference of Machine Learning, 236-243, University of Massachusetts, Amherst. Morgan Kaufmann.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!pip install -U scikit-learn scipy matplotlib\n",
    "from sklearn.datasets import load_boston\n",
    "raw_data = load_boston()\n",
    "print(raw_data.DESCR)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CRIM</th>\n",
       "      <th>ZN</th>\n",
       "      <th>INDUS</th>\n",
       "      <th>CHAS</th>\n",
       "      <th>NOX</th>\n",
       "      <th>RM</th>\n",
       "      <th>AGE</th>\n",
       "      <th>DIS</th>\n",
       "      <th>RAD</th>\n",
       "      <th>TAX</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>B</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>PRICE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.00632</td>\n",
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       "      <td>0.538</td>\n",
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       "      <td>9.14</td>\n",
       "      <td>21.6</td>\n",
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       "    <tr>\n",
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       "      <td>0.02729</td>\n",
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       "      <td>61.1</td>\n",
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       "      <td>2.0</td>\n",
       "      <td>242.0</td>\n",
       "      <td>17.8</td>\n",
       "      <td>392.83</td>\n",
       "      <td>4.03</td>\n",
       "      <td>34.7</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <td>18.7</td>\n",
       "      <td>394.63</td>\n",
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       "      <td>33.4</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.06905</td>\n",
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       "      <td>2.18</td>\n",
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       "      <td>54.2</td>\n",
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       "      <td>3.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>18.7</td>\n",
       "      <td>396.90</td>\n",
       "      <td>5.33</td>\n",
       "      <td>36.2</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.573</td>\n",
       "      <td>6.593</td>\n",
       "      <td>69.1</td>\n",
       "      <td>2.4786</td>\n",
       "      <td>1.0</td>\n",
       "      <td>273.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>391.99</td>\n",
       "      <td>9.67</td>\n",
       "      <td>22.4</td>\n",
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       "    <tr>\n",
       "      <th>502</th>\n",
       "      <td>0.04527</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.93</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.573</td>\n",
       "      <td>6.120</td>\n",
       "      <td>76.7</td>\n",
       "      <td>2.2875</td>\n",
       "      <td>1.0</td>\n",
       "      <td>273.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>396.90</td>\n",
       "      <td>9.08</td>\n",
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       "      <th>503</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>11.93</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.573</td>\n",
       "      <td>6.976</td>\n",
       "      <td>91.0</td>\n",
       "      <td>2.1675</td>\n",
       "      <td>1.0</td>\n",
       "      <td>273.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>396.90</td>\n",
       "      <td>5.64</td>\n",
       "      <td>23.9</td>\n",
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       "      <th>504</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.573</td>\n",
       "      <td>6.794</td>\n",
       "      <td>89.3</td>\n",
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       "      <td>21.0</td>\n",
       "      <td>393.45</td>\n",
       "      <td>6.48</td>\n",
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       "      <td>11.93</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.573</td>\n",
       "      <td>6.030</td>\n",
       "      <td>80.8</td>\n",
       "      <td>2.5050</td>\n",
       "      <td>1.0</td>\n",
       "      <td>273.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>396.90</td>\n",
       "      <td>7.88</td>\n",
       "      <td>11.9</td>\n",
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       "  </tbody>\n",
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       "<p>506 rows × 14 columns</p>\n",
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      "text/plain": [
       "        CRIM    ZN  INDUS  CHAS    NOX     RM   AGE     DIS  RAD    TAX  \\\n",
       "0    0.00632  18.0   2.31   0.0  0.538  6.575  65.2  4.0900  1.0  296.0   \n",
       "1    0.02731   0.0   7.07   0.0  0.469  6.421  78.9  4.9671  2.0  242.0   \n",
       "2    0.02729   0.0   7.07   0.0  0.469  7.185  61.1  4.9671  2.0  242.0   \n",
       "3    0.03237   0.0   2.18   0.0  0.458  6.998  45.8  6.0622  3.0  222.0   \n",
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       "..       ...   ...    ...   ...    ...    ...   ...     ...  ...    ...   \n",
       "501  0.06263   0.0  11.93   0.0  0.573  6.593  69.1  2.4786  1.0  273.0   \n",
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       "504  0.10959   0.0  11.93   0.0  0.573  6.794  89.3  2.3889  1.0  273.0   \n",
       "505  0.04741   0.0  11.93   0.0  0.573  6.030  80.8  2.5050  1.0  273.0   \n",
       "\n",
       "     PTRATIO       B  LSTAT  PRICE  \n",
       "0       15.3  396.90   4.98   24.0  \n",
       "1       17.8  396.90   9.14   21.6  \n",
       "2       17.8  392.83   4.03   34.7  \n",
       "3       18.7  394.63   2.94   33.4  \n",
       "4       18.7  396.90   5.33   36.2  \n",
       "..       ...     ...    ...    ...  \n",
       "501     21.0  391.99   9.67   22.4  \n",
       "502     21.0  396.90   9.08   20.6  \n",
       "503     21.0  396.90   5.64   23.9  \n",
       "504     21.0  393.45   6.48   22.0  \n",
       "505     21.0  396.90   7.88   11.9  \n",
       "\n",
       "[506 rows x 14 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pd.DataFrame(raw_data.data, columns=raw_data.feature_names)\n",
    "df[\"PRICE\"] = raw_data.target\n",
    "display(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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       "      <th>CHAS</th>\n",
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       "      <td>17.8</td>\n",
       "      <td>392.83</td>\n",
       "      <td>4.03</td>\n",
       "      <td>34.7</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <td>7.147</td>\n",
       "      <td>54.2</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>18.7</td>\n",
       "      <td>396.90</td>\n",
       "      <td>5.33</td>\n",
       "      <td>36.2</td>\n",
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      "text/plain": [
       "      CRIM    ZN  INDUS  CHAS    NOX     RM   AGE     DIS  RAD    TAX  \\\n",
       "0  0.00632  18.0   2.31   0.0  0.538  6.575  65.2  4.0900  1.0  296.0   \n",
       "1  0.02731   0.0   7.07   0.0  0.469  6.421  78.9  4.9671  2.0  242.0   \n",
       "2  0.02729   0.0   7.07   0.0  0.469  7.185  61.1  4.9671  2.0  242.0   \n",
       "3  0.03237   0.0   2.18   0.0  0.458  6.998  45.8  6.0622  3.0  222.0   \n",
       "4  0.06905   0.0   2.18   0.0  0.458  7.147  54.2  6.0622  3.0  222.0   \n",
       "\n",
       "   PTRATIO       B  LSTAT  PRICE  \n",
       "0     15.3  396.90   4.98   24.0  \n",
       "1     17.8  396.90   9.14   21.6  \n",
       "2     17.8  392.83   4.03   34.7  \n",
       "3     18.7  394.63   2.94   33.4  \n",
       "4     18.7  396.90   5.33   36.2  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Binning & Smooting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Data içinde bulunan \"DIS\" değişkeninde Evin Bostondaki iş merkezlerine uzaklığı ağırlıklı olarak hesaplanmış. Bu değişkeni farklı yöntemler kullanarak Ayrıklaştırmak istiyoruz.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Bu scatterplotı Ayrıklaştırma işlemi yapıldıktan sonraki hali ile karşılaştırabilirsiniz\n",
    "DIS = df.DIS\n",
    "x = np.arange(len(DIS))\n",
    "plt.scatter(x, DIS)\n",
    "plt.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Soru"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ecBdQAgLYna37ZiG9NzOzuvK8o78MOBARByPiOPAIsDHn9tcDuyLiSBbuu4ANjXXVzMwakSfoO4BXq5YPZWWj/RtJz0v6hqSlE1wXSVsklSWVBwYGcnTLzMzyKOrD2P8OLIuI91J51/61iW4gIrZFRCkiSu3t7QV1y8zM8gR9P7C0anlJVnZKRLwRET/PFr8K/Hredc3MbGrlCfpngeWSLpE0D9gE9FQ3kHRB1eK1wMvZ815gnaRFkhYB67IyMzObJnWvuomIE5JuoxLQLcD2iHhR0t1AOSJ6gN+TdC1wAjgCfDRb94ikP6LyYgFwd0QcmYJxmJnZGBQRze7DGUqlUpTL5WZ3w8xs1pC0OyJKter8l7FmZolz0JuZJc5Bb2aWOAe9mVniHPRmZolz0JuZJc5Bb2aWOAe9mVniHPRmZolz0JuZJc5Bb2aWOAe9mVniHPRmZolz0JuZJc5Bb2aWOAe9mVnicgW9pA2S+iQdkHRHjfpPSnpJ0vOSvivp4qq6YUl7s0fP6HXNzGxq1b2VoKQW4AHgKuAQ8Kyknoh4qarZHqAUEcck/S7wn4Abs7rBiFhdbLfNzCyvPO/oLwMORMTBiDgOPAJsrG4QEd+LiGPZ4tPAkmK7aWZmjcoT9B3Aq1XLh7KysdwKfLtq+VxJZUlPS+ocayVJW7J25YGBgRzdMjOzPOqeupkISTcDJeADVcUXR0S/pHcBT0raHxE/Hr1uRGwDtkHl5uBF9svM7GyW5x19P7C0anlJVnYaSf8K+BRwbUT8fKQ8IvqzrweBvwbWTKK/ZmY2QXmC/llguaRLJM0DNgGnXT0jaQ3wFSohf7iqfJGkc7Lni4H3A9Uf4pqZ2RSre+omIk5Iug3oBVqA7RHxoqS7gXJE9ADdwNuAxyQB/CQirgXeDXxF0kkqLyqfHXW1jpmZTTFFzLzT4aVSKcrlcrO7YWY2a0jaHRGlWnX+y1gzs8Q56M3MEuegNzNLnIPezCxxDnozs8Q56M3MEuegNzNLnIPezCxxDnozs8Q56M3MEuegNzNLnIPezCxxDnozs8Q56M3MEuegNzNLnIPezCxxuW4OLmkDcD+VO0x9NSI+O6r+HOBh4NeBN4AbI+KVrG4rcCswDPxeRPQW1vsqO/f0093bx2tHB7lwYRtd61fQuabjVP2dO/fz9ad/Mun9LJrfyl2/9Z7Ttt2InXv6+UzPixwdHDqtfF6LmDtHHBs6Oantp2CsYz3WsZvKfVYrYi5NZB7t3NPP1sefZ7CBObFgXgv3fnhlw/N1Ko+11TZH8NuXX8Q9nSsL22bdoJfUAjwAXAUcAp6V1DPqloC3Am9GxC9L2gT8MXCjpEup3GP2PcCFwF9J+hcRMVzYCBj5QdjP4FBls/1HB9n6+H4AOtd0FBbyAG8eG6LrG/tObbvR/nY9to+hk2fe3ev4cHB8eObd9asZah3r8Y7dVO2zWlFzKe882rmnn08+updGX/Z/dnyY2x9rbL5O9bG22k4Gp+ZYUWGf59TNZcCBiDgYEceBR4CNo9psBL6WPf8G8Juq3Dx2I/BIRPw8Iv4OOJBtr1DdvX2nQn7E4NAw3b19AOx45tVC9zc0HKe23Yju3j7/8OQ0+lhPx7Eb7/tb5FzKM4+6e/saDvkRwycbm6+ep81V5FzLE/QdQPUeD2VlNdtExAngLeCdOdcFQNIWSWVJ5YGBgXy9z7x2dHDc8uEpuC/uWPuc6nXPRtXHa7qO3Vj7KXou1RtPUeNtZDuep81V5FybMR/GRsS2iChFRKm9vX1C6164sG3c8hZp0v3Lu8+pXvdsVH28puvYjbWfoudSvfEUNd5GtuN52lxFzrU8Qd8PLK1aXpKV1WwjaS7wDiofyuZZd9K61q+grbXltLK21ha61q8AYPPlS2ut1rDWFp3adiO61q+gdU7xLz4pGn2sp+PYjff9LXIu5ZlHXetXTPrdWMucxuar52lzFTnX8syhZ4Hlki6RNI/Kh6s9o9r0ALdkz68HnoyIyMo3STpH0iXAcuD7xXT9FzrXdHDfdSvpWNiGgI6Fbdx33S+uNLincyU3r72okH0tmt9K9/WrJnXVTeeaDrpvWMXCttYz6ua1iPmtM+YXraaqdazHO3ZTtc9qRc2lvPOoc00Hn79xNW0NzokF81r43A2NzdepPtZW2xzBzWuLvepGkeM8kKRrgC9Subxye0TcK+luoBwRPZLOBf4bsAY4AmyKiIPZup8CPgacAP4gIr5db3+lUinK5XKDQzIzO/tI2h0RpZp1eYJ+ujnozcwmZryg9zkCM7PEOejNzBLnoDczS5yD3swscTPyw1hJA8DfN7j6YuAfC+zOTOfxpu9sG7PH25iLI6LmX5vOyKCfDEnlsT55TpHHm76zbcweb/F86sbMLHEOejOzxKUY9Nua3YFp5vGm72wbs8dbsOTO0ZuZ2elSfEdvZmZVHPRmZolLJuglbZDUJ+mApDua3Z+iSNou6bCkF6rKzpO0S9KPsq+LsnJJ+s/ZMXhe0q81r+eNkbRU0vckvSTpRUm/n5UnOWZJ50r6vqR92Xj/Y1Z+iaRnsnE9mv2LcLJ/+f1oVv6MpGVNHUCDJLVI2iPpW9ly6uN9RdJ+SXsllbOyaZvTSQR91Q3MrwYuBTZnNyZPwUPAhlFldwDfjYjlwHezZaiMf3n22AJ8eZr6WKQTwO0RcSmwFvhE9r1Mdcw/B34jIlYBq4ENktYCfwx8ISJ+GXgTuDVrfyvwZlb+hazdbPT7wMtVy6mPF+CDEbG66pr56ZvTETHrH8D7gN6q5a3A1mb3q8DxLQNeqFruAy7Inl8A9GXPvwJsrtVutj6AvwCuOhvGDMwHngMup/KXknOz8lPzG+gF3pc9n5u1U7P7PsFxLsmC7TeAbwFKebxZ318BFo8qm7Y5ncQ7eiZwE/JEnB8Rr2fP/y9wfvY8qeOQ/Zq+BniGhMecncbYCxwGdgE/Bo5GxImsSfWYTo03q38LeOe0dnjyvgj8B+BktvxO0h4vQADfkbRb0pasbNrm9NzJrGzNFxEhKblrZCW9DfgmlbuS/VRVN0pObcwRMQyslrQQeAL4leb2aOpI+hBwOCJ2S7qyyd2ZTldERL+kXwJ2SfpBdeVUz+lU3tFPy03IZ5B/kHQBQPb1cFaexHGQ1Eol5P8sIh7PipMeM0BEHAW+R+XUxUJJI2/Eqsd0arxZ/TuAN6a3p5PyfuBaSa8Aj1A5fXM/6Y4XgIjoz74epvJifhnTOKdTCfo8NzBPSfXN2G+hch57pPwj2af2a4G3qn41nBVUeev+J8DLEfH5qqokxyypPXsnj6Q2Kp9HvEwl8K/Pmo0e78hxuB54MrITubNBRGyNiCURsYzKz+mTEXETiY4XQNICSW8feQ6sA15gOud0sz+kKPDDjmuAH1I5v/mpZvenwHHtAF4Hhqicq7uVyjnK7wI/Av4KOC9rKypXH/0Y2A+Umt3/BsZ7BZXzmc8De7PHNamOGXgvsCcb7wvAp7PydwHfBw4AjwHnZOXnZssHsvp3NXsMkxj7lcC3Uh9vNrZ92ePFkXyazjntf4FgZpa4VE7dmJnZGBz0ZmaJc9CbmSXOQW9mljgHvZlZ4hz0ZmaJc9CbmSXu/wO+AicaOnzrhAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "new_DIS, bins = pd.cut(DIS,bins=3,labels=[0,1,2],retbins=True)# y değişkeninin için pd.cut fonksiyonunu kullanarak df.DIS 'ın ayrıklaştırılmış hali ile doldurun \n",
    "                                                                # NOT: bins parametresi için \"3\", labels için \"[0,1,2]\" ve retbins için \"True\" değerlerini kullanın\n",
    "x = np.arange(len(new_DIS))\n",
    "plt.scatter(x, new_DIS)\n",
    "plt.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>pd.cut</b> fonksiyonu, değişkeni ayrıklaştırırken aşağıdaki stratejilerden hangisini kullandı?<br>\n",
    "-- Equal-frequency(Eşit frekans)<br>\n",
    "-- Equal-width (eşit aralıklar)\n",
    "\n",
    "IPUCU: değişkenin min-max değerlerini ve value_count dağılımlarını kontrol edebilirsiniz."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Min: 1.1296 Max: 12.1265\n",
      "Sınır değerleri: [ 1.1186031   4.79523333  8.46086667 12.1265    ]\n",
      "\n",
      " Ayrık değerlerin görülme sayısı\n",
      "0    365\n",
      "1    125\n",
      "2     16\n",
      "Name: DIS, dtype: int64 \n",
      "\n",
      "\n",
      "Cevabınızı bu print içine yazabilirsiniz.\n"
     ]
    }
   ],
   "source": [
    "#Equal-frequency\n",
    "print(\"Min:\", df.DIS.min(),\"Max:\", df.DIS.max())\n",
    "print(\"Sınır değerleri:\", bins)\n",
    "print(\"\\n Ayrık değerlerin görülme sayısı\")\n",
    "print(new_DIS.value_counts(), \"\\n\\n\")\n",
    "\n",
    "print(\"Cevabınızı bu print içine yazabilirsiniz.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Soru "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x23fc9a03cc8>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "new_DIS, bins = pd.qcut(DIS,q=3,labels=[0,1,2],retbins=True)\n",
    "# aynı işlemi pd.qcut kullanarak yapın\n",
    "                # NOT: q parametresi için \"3\", labels için \"[0,1,2]\" ve retbins için \"True\" değerlerini kullanın\n",
    "x = np.arange(len(new_DIS))\n",
    "plt.scatter(x, new_DIS)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>pd.qcut</b> fonksiyonu, değişkeni ayrıklaştırırken aşağıdaki stratejilerden hangisini kullandı?<br>\n",
    "-- Equal-frequency(Eşit frekans)<br>\n",
    "-- Equal-width (eşit aralıklar)\n",
    "\n",
    "IPUCU: değişkenin min-max değerlerini ve value_count dağılımlarını kontrol edebilirsiniz."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Min: 1.1296 Max: 12.1265\n",
      "Sınır değerleri: [ 1.1296      2.38403333  4.3257     12.1265    ]\n",
      "\n",
      " Ayrık değerlerin görülme sayısı\n",
      "2    169\n",
      "0    169\n",
      "1    168\n",
      "Name: DIS, dtype: int64 \n",
      "\n",
      "\n",
      "Cevabınızı bu print içine yazabilirsiniz.\n"
     ]
    }
   ],
   "source": [
    "#equal widht\n",
    "print(\"Min:\", df.DIS.min(),\"Max:\", df.DIS.max())\n",
    "print(\"Sınır değerleri:\", bins)\n",
    "print(\"\\n Ayrık değerlerin görülme sayısı\")\n",
    "print(new_DIS.value_counts(), \"\\n\\n\")\n",
    "\n",
    "print(\"Cevabınızı bu print içine yazabilirsiniz.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Feature Generation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Bu bölümde var olan değişkenlerden yeni değişkenler üretelim."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"ZN+RM\"] = df.ZN+df.RM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"INDUS-B\"] = df.INDUS-df.B"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"AGE/TAX\"] = df.AGE/df.TAX"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "df[\"CRIM*DIS\"] = df.CRIM*df.DIS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CRIM</th>\n",
       "      <th>ZN</th>\n",
       "      <th>INDUS</th>\n",
       "      <th>CHAS</th>\n",
       "      <th>NOX</th>\n",
       "      <th>RM</th>\n",
       "      <th>AGE</th>\n",
       "      <th>DIS</th>\n",
       "      <th>RAD</th>\n",
       "      <th>TAX</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>B</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>PRICE</th>\n",
       "      <th>ZN+RM</th>\n",
       "      <th>INDUS-B</th>\n",
       "      <th>AGE/TAX</th>\n",
       "      <th>CRIM*DIS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.00632</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>6.575</td>\n",
       "      <td>65.2</td>\n",
       "      <td>4.0900</td>\n",
       "      <td>1.0</td>\n",
       "      <td>296.0</td>\n",
       "      <td>15.3</td>\n",
       "      <td>396.90</td>\n",
       "      <td>4.98</td>\n",
       "      <td>24.0</td>\n",
       "      <td>24.575</td>\n",
       "      <td>-394.59</td>\n",
       "      <td>0.220270</td>\n",
       "      <td>0.025849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.02731</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>6.421</td>\n",
       "      <td>78.9</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2.0</td>\n",
       "      <td>242.0</td>\n",
       "      <td>17.8</td>\n",
       "      <td>396.90</td>\n",
       "      <td>9.14</td>\n",
       "      <td>21.6</td>\n",
       "      <td>6.421</td>\n",
       "      <td>-389.83</td>\n",
       "      <td>0.326033</td>\n",
       "      <td>0.135652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.02729</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>7.185</td>\n",
       "      <td>61.1</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2.0</td>\n",
       "      <td>242.0</td>\n",
       "      <td>17.8</td>\n",
       "      <td>392.83</td>\n",
       "      <td>4.03</td>\n",
       "      <td>34.7</td>\n",
       "      <td>7.185</td>\n",
       "      <td>-385.76</td>\n",
       "      <td>0.252479</td>\n",
       "      <td>0.135552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.03237</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>6.998</td>\n",
       "      <td>45.8</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>18.7</td>\n",
       "      <td>394.63</td>\n",
       "      <td>2.94</td>\n",
       "      <td>33.4</td>\n",
       "      <td>6.998</td>\n",
       "      <td>-392.45</td>\n",
       "      <td>0.206306</td>\n",
       "      <td>0.196233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.06905</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>7.147</td>\n",
       "      <td>54.2</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>18.7</td>\n",
       "      <td>396.90</td>\n",
       "      <td>5.33</td>\n",
       "      <td>36.2</td>\n",
       "      <td>7.147</td>\n",
       "      <td>-394.72</td>\n",
       "      <td>0.244144</td>\n",
       "      <td>0.418595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>501</th>\n",
       "      <td>0.06263</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.93</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.573</td>\n",
       "      <td>6.593</td>\n",
       "      <td>69.1</td>\n",
       "      <td>2.4786</td>\n",
       "      <td>1.0</td>\n",
       "      <td>273.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>391.99</td>\n",
       "      <td>9.67</td>\n",
       "      <td>22.4</td>\n",
       "      <td>6.593</td>\n",
       "      <td>-380.06</td>\n",
       "      <td>0.253114</td>\n",
       "      <td>0.155235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>502</th>\n",
       "      <td>0.04527</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.93</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.573</td>\n",
       "      <td>6.120</td>\n",
       "      <td>76.7</td>\n",
       "      <td>2.2875</td>\n",
       "      <td>1.0</td>\n",
       "      <td>273.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>396.90</td>\n",
       "      <td>9.08</td>\n",
       "      <td>20.6</td>\n",
       "      <td>6.120</td>\n",
       "      <td>-384.97</td>\n",
       "      <td>0.280952</td>\n",
       "      <td>0.103555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>503</th>\n",
       "      <td>0.06076</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.93</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.573</td>\n",
       "      <td>6.976</td>\n",
       "      <td>91.0</td>\n",
       "      <td>2.1675</td>\n",
       "      <td>1.0</td>\n",
       "      <td>273.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>396.90</td>\n",
       "      <td>5.64</td>\n",
       "      <td>23.9</td>\n",
       "      <td>6.976</td>\n",
       "      <td>-384.97</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.131697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>504</th>\n",
       "      <td>0.10959</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.93</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.573</td>\n",
       "      <td>6.794</td>\n",
       "      <td>89.3</td>\n",
       "      <td>2.3889</td>\n",
       "      <td>1.0</td>\n",
       "      <td>273.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>393.45</td>\n",
       "      <td>6.48</td>\n",
       "      <td>22.0</td>\n",
       "      <td>6.794</td>\n",
       "      <td>-381.52</td>\n",
       "      <td>0.327106</td>\n",
       "      <td>0.261800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>505</th>\n",
       "      <td>0.04741</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.93</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.573</td>\n",
       "      <td>6.030</td>\n",
       "      <td>80.8</td>\n",
       "      <td>2.5050</td>\n",
       "      <td>1.0</td>\n",
       "      <td>273.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>396.90</td>\n",
       "      <td>7.88</td>\n",
       "      <td>11.9</td>\n",
       "      <td>6.030</td>\n",
       "      <td>-384.97</td>\n",
       "      <td>0.295971</td>\n",
       "      <td>0.118762</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>506 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        CRIM    ZN  INDUS  CHAS    NOX     RM   AGE     DIS  RAD    TAX  \\\n",
       "0    0.00632  18.0   2.31   0.0  0.538  6.575  65.2  4.0900  1.0  296.0   \n",
       "1    0.02731   0.0   7.07   0.0  0.469  6.421  78.9  4.9671  2.0  242.0   \n",
       "2    0.02729   0.0   7.07   0.0  0.469  7.185  61.1  4.9671  2.0  242.0   \n",
       "3    0.03237   0.0   2.18   0.0  0.458  6.998  45.8  6.0622  3.0  222.0   \n",
       "4    0.06905   0.0   2.18   0.0  0.458  7.147  54.2  6.0622  3.0  222.0   \n",
       "..       ...   ...    ...   ...    ...    ...   ...     ...  ...    ...   \n",
       "501  0.06263   0.0  11.93   0.0  0.573  6.593  69.1  2.4786  1.0  273.0   \n",
       "502  0.04527   0.0  11.93   0.0  0.573  6.120  76.7  2.2875  1.0  273.0   \n",
       "503  0.06076   0.0  11.93   0.0  0.573  6.976  91.0  2.1675  1.0  273.0   \n",
       "504  0.10959   0.0  11.93   0.0  0.573  6.794  89.3  2.3889  1.0  273.0   \n",
       "505  0.04741   0.0  11.93   0.0  0.573  6.030  80.8  2.5050  1.0  273.0   \n",
       "\n",
       "     PTRATIO       B  LSTAT  PRICE   ZN+RM  INDUS-B   AGE/TAX  CRIM*DIS  \n",
       "0       15.3  396.90   4.98   24.0  24.575  -394.59  0.220270  0.025849  \n",
       "1       17.8  396.90   9.14   21.6   6.421  -389.83  0.326033  0.135652  \n",
       "2       17.8  392.83   4.03   34.7   7.185  -385.76  0.252479  0.135552  \n",
       "3       18.7  394.63   2.94   33.4   6.998  -392.45  0.206306  0.196233  \n",
       "4       18.7  396.90   5.33   36.2   7.147  -394.72  0.244144  0.418595  \n",
       "..       ...     ...    ...    ...     ...      ...       ...       ...  \n",
       "501     21.0  391.99   9.67   22.4   6.593  -380.06  0.253114  0.155235  \n",
       "502     21.0  396.90   9.08   20.6   6.120  -384.97  0.280952  0.103555  \n",
       "503     21.0  396.90   5.64   23.9   6.976  -384.97  0.333333  0.131697  \n",
       "504     21.0  393.45   6.48   22.0   6.794  -381.52  0.327106  0.261800  \n",
       "505     21.0  396.90   7.88   11.9   6.030  -384.97  0.295971  0.118762  \n",
       "\n",
       "[506 rows x 18 columns]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "sklearn kütüphanesindeki PolynomialFeatures'ı kullanarak yeni featurelar üretin (NOT:Hedef değişkeni(PRICE) yeni featureları üretirken kullanmayın.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
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       "      <td>2.0</td>\n",
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       "      <td>-13385.872</td>\n",
       "      <td>8.761033</td>\n",
       "      <td>4.703660</td>\n",
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       "      <th>501</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.06263</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.93</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.573</td>\n",
       "      <td>6.593</td>\n",
       "      <td>69.1</td>\n",
       "      <td>2.4786</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>147.6832</td>\n",
       "      <td>-8513.344</td>\n",
       "      <td>5.669744</td>\n",
       "      <td>3.477258</td>\n",
       "      <td>-2505.73558</td>\n",
       "      <td>1.668778</td>\n",
       "      <td>1.023462</td>\n",
       "      <td>-96.198337</td>\n",
       "      <td>-58.998507</td>\n",
       "      <td>0.039292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>502</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.04527</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.93</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.573</td>\n",
       "      <td>6.120</td>\n",
       "      <td>76.7</td>\n",
       "      <td>2.2875</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>126.0720</td>\n",
       "      <td>-7930.382</td>\n",
       "      <td>5.787619</td>\n",
       "      <td>2.133236</td>\n",
       "      <td>-2356.01640</td>\n",
       "      <td>1.719429</td>\n",
       "      <td>0.633757</td>\n",
       "      <td>-108.158238</td>\n",
       "      <td>-39.865616</td>\n",
       "      <td>0.029094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>503</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.06076</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.93</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.573</td>\n",
       "      <td>6.976</td>\n",
       "      <td>91.0</td>\n",
       "      <td>2.1675</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>166.7264</td>\n",
       "      <td>-9200.783</td>\n",
       "      <td>7.966667</td>\n",
       "      <td>3.147565</td>\n",
       "      <td>-2685.55072</td>\n",
       "      <td>2.325333</td>\n",
       "      <td>0.918720</td>\n",
       "      <td>-128.323333</td>\n",
       "      <td>-50.699510</td>\n",
       "      <td>0.043899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>504</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.10959</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.93</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.573</td>\n",
       "      <td>6.794</td>\n",
       "      <td>89.3</td>\n",
       "      <td>2.3889</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>149.4680</td>\n",
       "      <td>-8393.440</td>\n",
       "      <td>7.196337</td>\n",
       "      <td>5.759590</td>\n",
       "      <td>-2592.04688</td>\n",
       "      <td>2.222360</td>\n",
       "      <td>1.778666</td>\n",
       "      <td>-124.797568</td>\n",
       "      <td>-99.881765</td>\n",
       "      <td>0.085636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>505</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.04741</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.93</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.573</td>\n",
       "      <td>6.030</td>\n",
       "      <td>80.8</td>\n",
       "      <td>2.5050</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>71.7570</td>\n",
       "      <td>-4581.143</td>\n",
       "      <td>3.522051</td>\n",
       "      <td>1.413268</td>\n",
       "      <td>-2321.36910</td>\n",
       "      <td>1.784703</td>\n",
       "      <td>0.716135</td>\n",
       "      <td>-113.939839</td>\n",
       "      <td>-45.719826</td>\n",
       "      <td>0.035150</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>506 rows × 172 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     0        1     2      3    4      5      6     7       8    9    ...  \\\n",
       "0    1.0  0.00632  18.0   2.31  0.0  0.538  6.575  65.2  4.0900  1.0  ...   \n",
       "1    1.0  0.02731   0.0   7.07  0.0  0.469  6.421  78.9  4.9671  2.0  ...   \n",
       "2    1.0  0.02729   0.0   7.07  0.0  0.469  7.185  61.1  4.9671  2.0  ...   \n",
       "3    1.0  0.03237   0.0   2.18  0.0  0.458  6.998  45.8  6.0622  3.0  ...   \n",
       "4    1.0  0.06905   0.0   2.18  0.0  0.458  7.147  54.2  6.0622  3.0  ...   \n",
       "..   ...      ...   ...    ...  ...    ...    ...   ...     ...  ...  ...   \n",
       "501  1.0  0.06263   0.0  11.93  0.0  0.573  6.593  69.1  2.4786  1.0  ...   \n",
       "502  1.0  0.04527   0.0  11.93  0.0  0.573  6.120  76.7  2.2875  1.0  ...   \n",
       "503  1.0  0.06076   0.0  11.93  0.0  0.573  6.976  91.0  2.1675  1.0  ...   \n",
       "504  1.0  0.10959   0.0  11.93  0.0  0.573  6.794  89.3  2.3889  1.0  ...   \n",
       "505  1.0  0.04741   0.0  11.93  0.0  0.573  6.030  80.8  2.5050  1.0  ...   \n",
       "\n",
       "          162        163       164        165         166       167       168  \\\n",
       "0    589.8000  -9470.160  5.286486   0.620371 -9697.04925  5.413142  0.635234   \n",
       "1    138.6936  -8420.328  7.042314   2.930072 -2503.09843  2.093458  0.871018   \n",
       "2    249.3195 -13385.872  8.761033   4.703660 -2771.68560  1.814064  0.973942   \n",
       "3    233.7332 -13107.830  6.890631   6.554196 -2746.36510  1.443732  1.373241   \n",
       "4    258.7214 -14288.864  8.838018  15.153136 -2821.06384  1.744898  2.991698   \n",
       "..        ...        ...       ...        ...         ...       ...       ...   \n",
       "501  147.6832  -8513.344  5.669744   3.477258 -2505.73558  1.668778  1.023462   \n",
       "502  126.0720  -7930.382  5.787619   2.133236 -2356.01640  1.719429  0.633757   \n",
       "503  166.7264  -9200.783  7.966667   3.147565 -2685.55072  2.325333  0.918720   \n",
       "504  149.4680  -8393.440  7.196337   5.759590 -2592.04688  2.222360  1.778666   \n",
       "505   71.7570  -4581.143  3.522051   1.413268 -2321.36910  1.784703  0.716135   \n",
       "\n",
       "            169         170       171  \n",
       "0    -86.916446  -10.199678  0.005694  \n",
       "1   -127.097467  -52.881025  0.044227  \n",
       "2    -97.396430  -52.290601  0.034224  \n",
       "3    -80.964910  -77.011803  0.040484  \n",
       "4    -96.368577 -165.227783  0.102197  \n",
       "..          ...         ...       ...  \n",
       "501  -96.198337  -58.998507  0.039292  \n",
       "502 -108.158238  -39.865616  0.029094  \n",
       "503 -128.323333  -50.699510  0.043899  \n",
       "504 -124.797568  -99.881765  0.085636  \n",
       "505 -113.939839  -45.719826  0.035150  \n",
       "\n",
       "[506 rows x 172 columns]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# PolynomialFeatures kullandığınız python kodunu buraya yazabilirsiniz.\n",
    "from sklearn.preprocessing import PolynomialFeatures\n",
    "poly = PolynomialFeatures(degree=2, interaction_only=True)\n",
    "pd.DataFrame(poly.fit_transform(df))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Normalizasyon"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "sklearn kütüphanesindeki Min-max scalerı kullanarak datayı normalize edip yeni bir dataframe içine atayın "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.00000000e+00, 1.80000000e-01, 6.78152493e-02, ...,\n",
       "        3.79282022e-03, 4.12749432e-01, 0.00000000e+00],\n",
       "       [2.35922539e-04, 0.00000000e+00, 2.42302053e-01, ...,\n",
       "        1.52920713e-02, 6.22799992e-01, 8.28532549e-04],\n",
       "       [2.35697744e-04, 0.00000000e+00, 2.42302053e-01, ...,\n",
       "        2.51244142e-02, 4.76718367e-01, 8.27782949e-04],\n",
       "       ...,\n",
       "       [6.11892474e-04, 0.00000000e+00, 4.20454545e-01, ...,\n",
       "        2.70329033e-02, 6.37298730e-01, 7.98695539e-04],\n",
       "       [1.16072990e-03, 0.00000000e+00, 4.20454545e-01, ...,\n",
       "        3.53674446e-02, 6.24931364e-01, 1.78040135e-03],\n",
       "       [4.61841693e-04, 0.00000000e+00, 4.20454545e-01, ...,\n",
       "        2.70329033e-02, 5.63094531e-01, 7.01090694e-04]])"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "scaler = MinMaxScaler()\n",
    "scaler.fit_transform(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "sklearn kütüphanesindeki StandardScalerı kullanarak datayı standardize edip yeni bir dataframe içine atayın "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "scaler = StandardScaler()\n",
    "sss = scaler.fit_transform(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "sklearn kütüphanesindeki RobustScalerı kullanarak datayı standardize edip yeni bir dataframe içine atayın "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-0.06959315,  1.44      , -0.57164988, ..., -0.60736609,\n",
       "         0.62130535, -0.13694423],\n",
       "       [-0.06375455,  0.        , -0.20294345, ..., -0.42427156,\n",
       "         1.55842561, -0.12210151],\n",
       "       [-0.06376011,  0.        , -0.20294345, ..., -0.26771805,\n",
       "         0.90669656, -0.12211494],\n",
       "       ...,\n",
       "       [-0.05445006,  0.        ,  0.17350891, ..., -0.23733051,\n",
       "         1.62311032, -0.12263602],\n",
       "       [-0.04086745,  0.        ,  0.17350891, ..., -0.10462544,\n",
       "         1.56793451, -0.10504928],\n",
       "       [-0.05816351,  0.        ,  0.17350891, ..., -0.23733051,\n",
       "         1.29205547, -0.12438456]])"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import RobustScaler\n",
    "scaler = RobustScaler()\n",
    "scaler.fit_transform(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Correlation & Covariance"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Bu hücrede değişkenlerin birbiri ile olan korelasyonları heatmap kullanarak görselleştirildi.<br>\n",
    "Aşağıdaki sorular bu görseli incelemeye ve yorumlamaya yönelik olacaktır.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,12))\n",
    "sns.heatmap(df.corr(), vmin=-1, vmax=1, square=True, annot=True, fmt='.2f')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Aşağıda örnek iki değişken için scatter plot çizilmiştir."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot.scatter(\"TAX\",\"CHAS\")\n",
    "plt.show()\n",
    "# scatter plot çizerken buradan kopya çekebilirsiniz :)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Yukarıdaki heatmapten birbiri ile pozitif yüksek korelasyona sahip iki değişken için scatter plot çiziniz. Bir iki cümle ile görseli yorumlamaya çalışınız. Not:Yorum yaparken değişkenlerin yukarıdaki açıklamalarından faydalanabilirsiniz."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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xZWHwxyr2cl5BH9YumOxrTCIi7aEefwLrqxpakn6zVxvfz6me/22PVXLh4qe47bFKv0MRkU5CiT+BdVWNabV3NqUL17Di5XrePXqKFS/XU7pwjd8hiUgnoMSfwPTRBWm1dybxevjq+YuIEn8CU0cXcl5Bn6i28wr65MQ6sU9X70urXUSCI2MXd83sF8BMYJ9z7oJw2xnAY0ApsAf4hHOu9WolncjaBZNZX9XAuqpGpo8uyImkDzBt1DBWvNx6FbBpo4b5EE20bz2xk9U7G5h5QSH/5/oL/A5HJHASVuds1webTQLeAx6JSPzfAd5xzi0xs4XAIOfc7ck+S9U528ZrTH/Pkhk+RBLypeUv8sTO6N84ugCv+xiTSD6LV50zY0M9zrlNwDsxzbOAh8PPHwZmZ+r4EkryN15UxIBeXbnxoiJfk37pwjWtkj7AaUK/AXSUpWurmfzdDSxdW91hnymSbzLW4wcws1JgdUSP/6BzbmD4uQEHml97vHceMA+gpKTk4jfeUKHQXOXV049UNKAnW+64qt3HGXnHGk5E/HPublBzj36bkODKeo8/GRf6iRP3p45z7kHnXJlzrmzo0KFZjEw62rOvvZ1w+8wL2n/dZOna6qikD3DCoZ6/iIdsJ/5GMysCCP+pKSYBcOW5Q+Ju6wIdcoF35Xbvm+ritYsEWbYT/yrgc+HnnwNWZvn44oN/n3OJZ/s/XX52h13YnTXW+7eGeO0iQZaxxG9mvwK2AOeZ2V4z+zywBJhmZjXAVeHXEgB7lszg+guG0adHF66/YBh7lszo0KmcC64eRXeLbutuoXYRiZbRi7sdRdM5JVVL11azcnsDs8YWKulL4MW7uKvELyKSpzrdrB7JTar2KZL7lPglZar2KZIflPglJar2KZI/tAKXpKQt1T4nLXmGNw8eo2RgTzYtbP+duSLSMdTjl5TEq+oZr7104RrePHgMgDcPHtOwkEgnosQvKfneJ8d7to8c1q9V26Qlz3juG69dRLJLiV9S1lztM9I9a19j1KIno9qae/qx4rWLSHYp8UtavHr4R046lm2oaXldMrCn53vjtYtIdinxS1rKt7de1Su2Pd6FXF3gFekclPgDpCMWKZk9tiil9j1LZrT08EsG9vR1ERgRiaaSDQHRkYuUjFr0JEdOfvBhvbsZ1Xdf194QRaSDqWRDntjdeJgVFXXsbjyc8ns6epGS6ruv446rz2VUUT/uuPpcJX2RHKMbuHz0rSd2snpnAzMvKExYori8so7VOxo4cuwkz73+wTLGcy8r4a5ZY5IeJ9EiJW2tYDl/ykjmTxnZpveKiL+U+H1yzsI1nA4//9lzb/Dz597wXJRkwrefpuHQcc/PeGTLm8ydUMqIgtYzbSLNGlvIDze87tkuIsGjoR4ffOuJnS1Jv9npcHuk8sq6uEm/2da6g0mPp0VKRCSSEr8PVu/0HnqJbV+9I/l6seOKB6Z0zJp7ZnDLlHMoHfwhbplyTpsv7IpI7lPi98HMC7yHWGLbZ45JPBQz97KSpMM8kRZcPYqNX52inr5IwGmM3wdP7Gh9E1QXaHWBd/b4Yu596hXqI4Z7hvTpzsJrRzGueGBaST+Z5iUL+3Y36g8f59rzC7j7oxd22OeLSOehxB9HRW0Tm2reZtLIIZQNH9zm9w78UA+21h1sSdTxxu1/8Imxnp+15c5pLbN6Zo4pZPb44jadTyKxc/wBlr+wl+Uv7NWNVyJ5SDdweZjz0PP8aXdTy+srRgzm0ZsntOm9keZeVsJfDx7lGY8a9leNGsZDn7ukbQG30fqqBr639hWqG9+Pu8+cS89Sz18kR+kGrhRV1Da1Stx/3N1ERa13Mk/23kiPbHmTS0oGem5LNp7f0aYv3cjnH3kpYdIH+P2uxixFJCLZosQfY1PN22m1R7px2fNJ9xncrxdF/XtEtRX175GRIZx41lc18FqShN/s2vMLMhyNiGSbxvhjTBo5hPuf3e3Znsii325L6fN/tKEmK+P2iayrSr0Xr2EekfyjxB+jbPhgrhgxmD/GjPEnu8Cb6pDInqYjrK9qYPb44qwn/GbTRxfwWMXeVu0FfXswtG93zeoRyXNK/DEqapu4qGQQV48uYN97x1Oe1XPt+QUsf6F1MvWyrqqRqaP9K5cwdXQh5xX04dWI4Z7zCvqwdsFk32ISkexR4o/gNZvn36afl9J77/7ohSkn/umjW4+bL99cy8rt9cwaW8ScicNTC7gd1i6YzPqqBtZVNTJ9dEHCH0TNc/xnjS3UzV8iecCX6Zxmtgc4DJwCTnpNN4qUjemcFbVNnhdnbxz/YT51SUnKc/kX/XYbv9/V2DJUcvXSjUl71hcufop3j55qeT2gV1e2Lb6mTefR0Tqyjr+IZFe86Zx+9vinOOeST5XJknizdlZU/pUVlX9NOJd/fVUDD2yo4b2jp5h72dlRY+PJetbLN9dGJX2Ad4+eYvnm2qz0/BNJVMdfPX+R3KXpnGHJZu3Em8vfPB++su4Qr+1/n0Wrqrhw8VNR+0wdXci9N17oOZyyMs4atvHasylRHX8RyV1+JX4HrDOzl8xsntcOZjbPzCrMrGL//v0ZD6h5Nk8isb8VxJsP39xjT8WsOGvYxmvPpnj1+lXHXyS3+ZX4/9Y5Nx64FviCmU2K3cE596Bzrsw5VzZ06NCsBPXozRNYMX8CHxt/puf22N8KEs2H9+qxxy6buL6qgR1/PUTvmAG3Ab26+j7MA6rjL5KvfBnjd869Ff5zn5n9DrgU2ORHLLHKhofm7O87dDTpXP548+GhdY/96+U7eOT5N1teD+jVNWpsf1jf7pw9pG/WZvWkquaeGZrVI5Jnsj6rx8z6AF2cc4fDz58G7nLOPRXvPdku0tYslQqdsbN2APr17MKOb1zb8np342GuWpr859rP517s6/x+EckvnalIWwHwJzPbBrwArEmU9P00fGhfpo4qYPjQvnH3WbtgMj+fezGlZ/TCgJ7dunDiNKza+lbLPqksjwjplVLIpGUbarj2h5tYtqHG71Diih02ywWLfruNi7+5LuXyHiKZkvWhHufc60CnrwWwcutb3P74drp36cKJ06f5zsfGcsM477H/cSWDaDh8HAccOxlaTfdrj2/n8hFDGNy3Z8rLI3rd2JVtoxY9yZGTod8Cq+sPc9/6Gqrvvs7nqKLFDpvNvayEu2aN8TGi5EoXrml5rrUOxG+BnM7Z9N4xttUdpOm9Y3G33/74do6eOM3hYyc5euI0X3t8e9z99x44Qvcu0V9l9y5d2HvgCAAjCvox97KSqO0DenWNen1eQZ8OG+Zpa2942YaalqTf7MhJ16l6/rsbD0clfQiVu+7MPf94PXz1/MUvgSvZsOwPf+F7616lR9cunHLOsyffnMiPcrqlrTmRD+7bs9VnnjWoNydOn45qO3H6NGcN6t3y+q5ZY5g7oTRqNa5USyakoz294fI49w6Ub69n/pSRHRJfe8UbNttad7BDl6LsSPEK+P1+VyN3fzTLwYgQsB7/136zlXt+/wonTjneP34qbk8+lUQeaXDfnnznY2Pp1b0L/Xp2o1f3LnznY2MZ3LcnyzfX8vGfbmb55lpGFPTjxrLilgSV6Mautmhvb3h2nHsH4rX7Id6wWarDaX6It6aB1joQvwQm8e9uPMyvX3qrVfvp07DlL9F35CZK5PHcMO5Mnrv9Spbf/BGeu/1Kbhh3JhcufopFq6p4cc8BFq2qYtSiNdy+YhvrqzJz52u83vAdv9uR0jHnTxlJ727RE/d7d7NO09sH72GzuZeVdNrePsRf00Blr8UvgVlzd0VFHbet2B53u9eQSNN7x9h74AhnDeqdMOl7Wb65lkWrquJuT1YGuS2LvSebNppq6eVlG2oo317P7LFFnSrpR9rdeDhq2CwXxBbwE8m0eNM5A5P4U5lL/8yCSR2WRD7+0828uOdAwn3izdtvz2LvX1+5g0e2vBl3u+4VEAmOzjSP3xdeQwSxfvdyavX0vcTOpEml1s7PNr3eqq09i71D6CLyMwsmcUnpIM/tneVeARHxT2ASP3yQFL86/VzP7Q9sfJ3PPpR8wfRYXy/fwVVLN3Hbiu1ctXQTX1+5gzkTh7eashnr+T0HuOzbT0e1tWex92YjCvrxz5PO8dzWGe4VEBF/BSrxQygpfuHKkXF7/4l6117z4xPNpNm2+BruvmE0l5QOYljf7p6fWX/oOOWVdS2v45WHTlY2Olbz8oqROvJeARHJXYFL/M3umjWGOR/xTv5evWuvXj0knlcOMGficH7zzxN5YdF0xp7Z33Pf1Ts+mHHjVR46lcXevaxdMJnrLxhGnx5duP6CYVpTV0SAACd+gNnjPuzZHtu7TtSrT2de+T9eXuq578wx0b3w5vLQX75yBCvmT0j5wm6skXes4Ymd+3j/+Gme2LmPkXesSf4mEcl7gUn8XmUaUu1dJ7tbNNV55bPHF1PUv0dUW1H/HsweXxzVlspUzvVVDQnvCUi0bGK2JCuNISL+CETJhkQF11KZzJqsV+9VjiGeLXdOo7yyjtU7Gpg5prBV0o+cynn/s7s9p3JOX7qxZeWvxyr2es7PT7RsYjZq6qdT5E5Esivve/yJCq4lmzrZ3GM9+N/Huah4QNR+sb362HIMiXq7s8cX89DnLvHs6Sebyum13OOrje+36vn7uWxiukXuRCS78rrH3/TeMTa8so+uFl2GoLngWqKpk2+9e5TbH9/OiZOnORXza8ENFxYmLHzW1t5uoniah3zizcNfV9UYNWNnwdWj+PHG16OGe9qzbGI6dzGnW+RORLIrb3v8K7e+xeX3PsviJ3bx/vFTUduaC67FmyJ54VkDWnqssUkfYNW2hriFz9rT201lKme8efhe7TX3zOCWKedQOvhD3DLlHGruaVv99+bvcs5Df+bye5+NWmTGS7pF7kQku/Iy8Ucm3/eOfZD0+/ToGlVwzevibvGgXuw/fIxTpxOP/se74JuoNn+yi52pXGxOd37+gqtHsfGrU9rV00/3B1lbityJSPbk5VCP11BDn55d+cb15zPlb4ZFJaBHb55ARW0TX/hVJY2HjlN34CgLf7cz6THiXfCN19vd+da7fPLBLUmHf5rjSTSrZ+2CyRmp5e+lrcM2N4w7k8tHDGlzkTsRyZy8TPxeyffUadcq6Td7YMNfaDx0POXPN6Cq/lCr2TvNFSP/7apz+cEzr7Uk+f87czTfXF3F0ROnWxJo5NKMscqGJ79ha+rowqzchdueYZvBfXsq4Yt0QnmZ+JuHGr4Wc4HVKwkt+8Nf2PDa/rQ+39E6cceufPWJsrP4+4+czVmDeuf0xc50vksRyQ15mfghtaGGpveO8d21r7bp8yMTt9edvb+u2Mu8K85pOW4uX+zUsI1IfsnLi7vNBvftyYXFA+Mmqr0HjtCtq3luSyYycSer15MPFzuTfZcikjvytsefirMG9SbeOjQ9u3Xh2MkPeundukDXLl3o0bX1cEcq9XrUaxaRziLQiX9w355898ax3PqbbZwIT9jvarD0k+OoeOOdqJWsPvOREm6Zeq5n4m6u1xO5v1e9Hl3sFJHOIDBLLybS9N4xdv31XcA4/8Oh0smX3/ssR0980OPv1b0Lz91+ZUvi9rqTNRfXgRWR/BVv6cVA9/ibDe7bk0nnDmt5va3uYMJZOPFKMowo6KeELyKdXl5f3G2rRHPXVYBMRHKdL4nfzK4xs1fNbLeZLfQjhkQSzcJJVJJBRCQXZH2ox8y6Ag8A04C9wItmtso5V5XtWBKJNwtHBchEJNf50eO/FNjtnHvdOXcc+C9glg9xJOU1dz0f5uSLSLD5cXH3TKAu4vVe4COxO5nZPGAeQEmJ96LoftGcfBHJZZ12Vo9z7kHgQQhN5/Q5nFY0J19EcpUfQz1vAZFrDp4VbhMRkSzwI/G/CIw0s+Fm1gP4FLDKhzhERAIp60M9zrmTZvZFYC3QFfiFc25XtuMQEQkqX8b4nXNPAk/6cWwRkaDTnbsiIgGTE0XazGw/8EaGDzMEeDvDx+iMgnreENxzD+p5Q/DO/Wzn3NDYxpxI/NlgZhVeVezyXVDPG4J77kE9bwj2uUfSUI+ISMAo8YuIBIwS/wce9DsAnwT1vCG45x7U84Zgn3sLjfGLiASMevwiIgGjxC8iEjCBSvyprvxlZh8zM2dmeTPtK9m5m9lNZrbfzLaGHzf7EWcmpPL3bmafMLMqM9tlZv+Z7RgzIYW/86URf9+vmdlBH8LMiBTOvcTMNpjZy2a23cyu8yNO3zjnAvEgVBfoL8A5QA9gGzDaY79+wCbgeaDM77izde7ATcCP/I7Vp3MfCbwMDAq/HuZ33Nk475j9v0SobpbvsWfp7/xB4F/Cz0cDe/yOO5uPIPX4U13565vAvcDRbAaXYTmz6lkGpHLu/wQ84Jw7AOCc25flGDMh3b/zTwO/ykpkmZfKuTugf/j5AOCvWYzPd0FK/F4rf50ZuYOZjQeKnXNrshlYFiQ997CPhX/tXWFmxR7bc1Eq534ucK6ZPWdmz5vZNVmLLnNS/TvHzM4GhgPPZiGubEjl3BcDc8xsL6GCkV/KTmidQ5ASf0Jm1gX4AXCr37H45Amg1Dk3FngaeNjneLKpG6HhnsmEer4/M7OBfgaUZZ8CVjjnTvkdSBZ9Gvilc+4s4Drg0XAOCITAnCjJV/7qB1wAbDSzPcAEYFWeXOBNuuqZc67JOXcs/PIh4OIsxZZpqaz4thdY5Zw74ZyrBV4j9IMgl6Wz0t2nyJ9hHkjt3D8P/BrAObcF6EWogFsgBCnxJ1z5yzn3rnNuiHOu1DlXSuji7g3OuQp/wu1QSVc9M7OiiJc3ANVZjC+TUlnxrZxQbx8zG0Jo6Of1LMaYCSmtdGdmfwMMArZkOb5MSuXc3wSmApjZKEKJf39Wo/RRYBK/c+4k0LzyVzXwa+fcLjO7y8xu8De6zErx3L8cnsq4DfgyoVk+OS/Fc18LNJlZFbAB+KpzrsmfiDtGGv/ePwX8lwtPb8kHKZ77rcA/hf+9/wq4KZ++g2RUskFEJGAC0+MXEZEQJX4RkYBR4hcRCRglfhGRgFHiFxEJGCV+kTjCFVq/H/H6NjNbHPF6npm9En68YGZ/G27/NzP7RcR+f29m+VYGRHKYEr9IfMeAj4Zv6opiZjOB+cDfOuf+Bvhn4D/NrBC4HxhvZpeHSz/cTcBqwUjnpsQvEt9JQuV7F3hsu53QjV5vAzjnKgnVN/pC+AaifwUeAL5DqNxxrt8JLHlEiV8ksQeAvzezATHt5wMvxbRVhNtxzm0mdNfoVYSSv0inocQvkoBz7hDwCKEyFikzs75AGdAdGJqB0ETaTIlfJLn7CFVz7BPRVkXrCqYXA7vCz78BLAe+BSzNcHwiaVHiF0nCOfcOoRK+n49o/g5wr5kNBjCzcYQK2/3YzMYAMwit5PYgUGpm07IZs0gi3fwOQCRHfJ9QxUcAnHOrzOxMYLOZOeAwMAdoAH4DLHDOHQUws38BHjGzceGlAEV8peqcIiIBo6EeEZGAUeIXEQkYJX4RkYBR4hcRCRglfhGRgFHiFxEJGCV+EZGA+R+IKJxY+/sgEQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INDUS proportion of non-retail business acres per town\n",
      "NOX nitric oxides concentration\n",
      " Nitrik Oksit konstantrasyonun işleri etkiliyor gibi gözüküyor fazla olduğu yerlerde perakende dışı iş dönümleri daha fazla oluyor\n"
     ]
    }
   ],
   "source": [
    "df.plot.scatter(\"NOX\",\"INDUS\")\n",
    "plt.show()\n",
    "\n",
    "print(\"INDUS proportion of non-retail business acres per town\\nNOX nitric oxides concentration\\n Nitrik Oksit konstantrasyonun işleri etkiliyor gibi gözüküyor fazla olduğu yerlerde perakende dışı iş dönümleri daha fazla oluyor\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Heatmapten faydalanarak negatif korelasyonlu iki değişken için scatter plot çiziniz. Sonucu yorumlayınız"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DIS weighted distances to five Boston employment centres\n",
      "NOX nitric oxides concentration\n",
      "Boston istihdam merkezine mesafe fazlaysa nitrik oksit konsantrasyonu düşüktür\n"
     ]
    }
   ],
   "source": [
    "df.plot.scatter(\"DIS\",\"NOX\")\n",
    "plt.show()\n",
    "print(\"DIS weighted distances to five Boston employment centres\\nNOX nitric oxides concentration\\nBoston istihdam merkezine mesafe fazlaysa nitrik oksit konsantrasyonu düşüktür\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Heatmapten faydalanarak düşük korelasyonlu iki değişken için scatter plot çiziniz. Sonucu yorumlayınız."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "düşük korelasyon\n"
     ]
    }
   ],
   "source": [
    "df.plot.scatter(\"CHAS\",\"RM\")\n",
    "plt.show()\n",
    "print(\"düşük korelasyon\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Soru"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Adım 1 :</b>df.cov() methodunu kullanarak datasetteki covariance değerlerini hesaplayın.<br> \n",
    "sns.heatmap ile bu methodu görselleştirin (IPUCU: Yukarıda korelasyon gösteriminde kullanılan yöntemin aynısı)\n",
    "heatmap için vmin ve vmax parametrelerini kullanmayın."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,12))\n",
    "sns.heatmap(df.cov(), square=True, annot=True, fmt='.1f')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Adım 2 :</b> Şimdi sklearn.preprocessing paketi içindeki StandardScaler objesini kullanarak datayı standardize edin ve bunu ayrı bir dataframede tutun. Standardize edilmiş dataframe objesinin Kovaryans değerini tekrar hesaplatıp görselleştirin.\n",
    "\n",
    "<br>IPUCU : standardScalerdan gelen dönüştürülmüş datayı tekrar pandas DataFrame objesine çevirin ve bunu yaparken kolon adlarını kaybetmemeye çalışın örn: pd.DataFrame(standardize_numpy_datası, columns=df.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CRIM</th>\n",
       "      <th>ZN</th>\n",
       "      <th>INDUS</th>\n",
       "      <th>CHAS</th>\n",
       "      <th>NOX</th>\n",
       "      <th>RM</th>\n",
       "      <th>AGE</th>\n",
       "      <th>DIS</th>\n",
       "      <th>RAD</th>\n",
       "      <th>TAX</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>B</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>PRICE</th>\n",
       "      <th>ZN+RM</th>\n",
       "      <th>INDUS-B</th>\n",
       "      <th>AGE/TAX</th>\n",
       "      <th>CRIM*DIS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.419782</td>\n",
       "      <td>0.284830</td>\n",
       "      <td>-1.287909</td>\n",
       "      <td>-0.272599</td>\n",
       "      <td>-0.144217</td>\n",
       "      <td>0.413672</td>\n",
       "      <td>-0.120013</td>\n",
       "      <td>0.140214</td>\n",
       "      <td>-0.982843</td>\n",
       "      <td>-0.666608</td>\n",
       "      <td>-1.459000</td>\n",
       "      <td>0.441052</td>\n",
       "      <td>-1.075562</td>\n",
       "      <td>0.159686</td>\n",
       "      <td>0.294406</td>\n",
       "      <td>-0.522562</td>\n",
       "      <td>0.423681</td>\n",
       "      <td>-0.490702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.417339</td>\n",
       "      <td>-0.487722</td>\n",
       "      <td>-0.593381</td>\n",
       "      <td>-0.272599</td>\n",
       "      <td>-0.740262</td>\n",
       "      <td>0.194274</td>\n",
       "      <td>0.367166</td>\n",
       "      <td>0.557160</td>\n",
       "      <td>-0.867883</td>\n",
       "      <td>-0.987329</td>\n",
       "      <td>-0.303094</td>\n",
       "      <td>0.441052</td>\n",
       "      <td>-0.492439</td>\n",
       "      <td>-0.101524</td>\n",
       "      <td>-0.477191</td>\n",
       "      <td>-0.471853</td>\n",
       "      <td>1.606837</td>\n",
       "      <td>-0.482807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.417342</td>\n",
       "      <td>-0.487722</td>\n",
       "      <td>-0.593381</td>\n",
       "      <td>-0.272599</td>\n",
       "      <td>-0.740262</td>\n",
       "      <td>1.282714</td>\n",
       "      <td>-0.265812</td>\n",
       "      <td>0.557160</td>\n",
       "      <td>-0.867883</td>\n",
       "      <td>-0.987329</td>\n",
       "      <td>-0.303094</td>\n",
       "      <td>0.396427</td>\n",
       "      <td>-1.208727</td>\n",
       "      <td>1.324247</td>\n",
       "      <td>-0.444719</td>\n",
       "      <td>-0.428495</td>\n",
       "      <td>0.784000</td>\n",
       "      <td>-0.482814</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.416750</td>\n",
       "      <td>-0.487722</td>\n",
       "      <td>-1.306878</td>\n",
       "      <td>-0.272599</td>\n",
       "      <td>-0.835284</td>\n",
       "      <td>1.016303</td>\n",
       "      <td>-0.809889</td>\n",
       "      <td>1.077737</td>\n",
       "      <td>-0.752922</td>\n",
       "      <td>-1.106115</td>\n",
       "      <td>0.113032</td>\n",
       "      <td>0.416163</td>\n",
       "      <td>-1.361517</td>\n",
       "      <td>1.182758</td>\n",
       "      <td>-0.452667</td>\n",
       "      <td>-0.499764</td>\n",
       "      <td>0.267468</td>\n",
       "      <td>-0.478451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.412482</td>\n",
       "      <td>-0.487722</td>\n",
       "      <td>-1.306878</td>\n",
       "      <td>-0.272599</td>\n",
       "      <td>-0.835284</td>\n",
       "      <td>1.228577</td>\n",
       "      <td>-0.511180</td>\n",
       "      <td>1.077737</td>\n",
       "      <td>-0.752922</td>\n",
       "      <td>-1.106115</td>\n",
       "      <td>0.113032</td>\n",
       "      <td>0.441052</td>\n",
       "      <td>-1.026501</td>\n",
       "      <td>1.487503</td>\n",
       "      <td>-0.446334</td>\n",
       "      <td>-0.523947</td>\n",
       "      <td>0.690756</td>\n",
       "      <td>-0.462462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>501</th>\n",
       "      <td>-0.413229</td>\n",
       "      <td>-0.487722</td>\n",
       "      <td>0.115738</td>\n",
       "      <td>-0.272599</td>\n",
       "      <td>0.158124</td>\n",
       "      <td>0.439316</td>\n",
       "      <td>0.018673</td>\n",
       "      <td>-0.625796</td>\n",
       "      <td>-0.982843</td>\n",
       "      <td>-0.803212</td>\n",
       "      <td>1.176466</td>\n",
       "      <td>0.387217</td>\n",
       "      <td>-0.418147</td>\n",
       "      <td>-0.014454</td>\n",
       "      <td>-0.469880</td>\n",
       "      <td>-0.367773</td>\n",
       "      <td>0.791095</td>\n",
       "      <td>-0.481399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>502</th>\n",
       "      <td>-0.415249</td>\n",
       "      <td>-0.487722</td>\n",
       "      <td>0.115738</td>\n",
       "      <td>-0.272599</td>\n",
       "      <td>0.158124</td>\n",
       "      <td>-0.234548</td>\n",
       "      <td>0.288933</td>\n",
       "      <td>-0.716639</td>\n",
       "      <td>-0.982843</td>\n",
       "      <td>-0.803212</td>\n",
       "      <td>1.176466</td>\n",
       "      <td>0.441052</td>\n",
       "      <td>-0.500850</td>\n",
       "      <td>-0.210362</td>\n",
       "      <td>-0.489984</td>\n",
       "      <td>-0.420079</td>\n",
       "      <td>1.102525</td>\n",
       "      <td>-0.485115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>503</th>\n",
       "      <td>-0.413447</td>\n",
       "      <td>-0.487722</td>\n",
       "      <td>0.115738</td>\n",
       "      <td>-0.272599</td>\n",
       "      <td>0.158124</td>\n",
       "      <td>0.984960</td>\n",
       "      <td>0.797449</td>\n",
       "      <td>-0.773684</td>\n",
       "      <td>-0.982843</td>\n",
       "      <td>-0.803212</td>\n",
       "      <td>1.176466</td>\n",
       "      <td>0.441052</td>\n",
       "      <td>-0.983048</td>\n",
       "      <td>0.148802</td>\n",
       "      <td>-0.453602</td>\n",
       "      <td>-0.420079</td>\n",
       "      <td>1.688504</td>\n",
       "      <td>-0.483091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>504</th>\n",
       "      <td>-0.407764</td>\n",
       "      <td>-0.487722</td>\n",
       "      <td>0.115738</td>\n",
       "      <td>-0.272599</td>\n",
       "      <td>0.158124</td>\n",
       "      <td>0.725672</td>\n",
       "      <td>0.736996</td>\n",
       "      <td>-0.668437</td>\n",
       "      <td>-0.982843</td>\n",
       "      <td>-0.803212</td>\n",
       "      <td>1.176466</td>\n",
       "      <td>0.403225</td>\n",
       "      <td>-0.865302</td>\n",
       "      <td>-0.057989</td>\n",
       "      <td>-0.461337</td>\n",
       "      <td>-0.383326</td>\n",
       "      <td>1.618843</td>\n",
       "      <td>-0.473737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>505</th>\n",
       "      <td>-0.415000</td>\n",
       "      <td>-0.487722</td>\n",
       "      <td>0.115738</td>\n",
       "      <td>-0.272599</td>\n",
       "      <td>0.158124</td>\n",
       "      <td>-0.362767</td>\n",
       "      <td>0.434732</td>\n",
       "      <td>-0.613246</td>\n",
       "      <td>-0.982843</td>\n",
       "      <td>-0.803212</td>\n",
       "      <td>1.176466</td>\n",
       "      <td>0.441052</td>\n",
       "      <td>-0.669058</td>\n",
       "      <td>-1.157248</td>\n",
       "      <td>-0.493809</td>\n",
       "      <td>-0.420079</td>\n",
       "      <td>1.270533</td>\n",
       "      <td>-0.484021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>506 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         CRIM        ZN     INDUS      CHAS       NOX        RM       AGE  \\\n",
       "0   -0.419782  0.284830 -1.287909 -0.272599 -0.144217  0.413672 -0.120013   \n",
       "1   -0.417339 -0.487722 -0.593381 -0.272599 -0.740262  0.194274  0.367166   \n",
       "2   -0.417342 -0.487722 -0.593381 -0.272599 -0.740262  1.282714 -0.265812   \n",
       "3   -0.416750 -0.487722 -1.306878 -0.272599 -0.835284  1.016303 -0.809889   \n",
       "4   -0.412482 -0.487722 -1.306878 -0.272599 -0.835284  1.228577 -0.511180   \n",
       "..        ...       ...       ...       ...       ...       ...       ...   \n",
       "501 -0.413229 -0.487722  0.115738 -0.272599  0.158124  0.439316  0.018673   \n",
       "502 -0.415249 -0.487722  0.115738 -0.272599  0.158124 -0.234548  0.288933   \n",
       "503 -0.413447 -0.487722  0.115738 -0.272599  0.158124  0.984960  0.797449   \n",
       "504 -0.407764 -0.487722  0.115738 -0.272599  0.158124  0.725672  0.736996   \n",
       "505 -0.415000 -0.487722  0.115738 -0.272599  0.158124 -0.362767  0.434732   \n",
       "\n",
       "          DIS       RAD       TAX   PTRATIO         B     LSTAT     PRICE  \\\n",
       "0    0.140214 -0.982843 -0.666608 -1.459000  0.441052 -1.075562  0.159686   \n",
       "1    0.557160 -0.867883 -0.987329 -0.303094  0.441052 -0.492439 -0.101524   \n",
       "2    0.557160 -0.867883 -0.987329 -0.303094  0.396427 -1.208727  1.324247   \n",
       "3    1.077737 -0.752922 -1.106115  0.113032  0.416163 -1.361517  1.182758   \n",
       "4    1.077737 -0.752922 -1.106115  0.113032  0.441052 -1.026501  1.487503   \n",
       "..        ...       ...       ...       ...       ...       ...       ...   \n",
       "501 -0.625796 -0.982843 -0.803212  1.176466  0.387217 -0.418147 -0.014454   \n",
       "502 -0.716639 -0.982843 -0.803212  1.176466  0.441052 -0.500850 -0.210362   \n",
       "503 -0.773684 -0.982843 -0.803212  1.176466  0.441052 -0.983048  0.148802   \n",
       "504 -0.668437 -0.982843 -0.803212  1.176466  0.403225 -0.865302 -0.057989   \n",
       "505 -0.613246 -0.982843 -0.803212  1.176466  0.441052 -0.669058 -1.157248   \n",
       "\n",
       "        ZN+RM   INDUS-B   AGE/TAX  CRIM*DIS  \n",
       "0    0.294406 -0.522562  0.423681 -0.490702  \n",
       "1   -0.477191 -0.471853  1.606837 -0.482807  \n",
       "2   -0.444719 -0.428495  0.784000 -0.482814  \n",
       "3   -0.452667 -0.499764  0.267468 -0.478451  \n",
       "4   -0.446334 -0.523947  0.690756 -0.462462  \n",
       "..        ...       ...       ...       ...  \n",
       "501 -0.469880 -0.367773  0.791095 -0.481399  \n",
       "502 -0.489984 -0.420079  1.102525 -0.485115  \n",
       "503 -0.453602 -0.420079  1.688504 -0.483091  \n",
       "504 -0.461337 -0.383326  1.618843 -0.473737  \n",
       "505 -0.493809 -0.420079  1.270533 -0.484021  \n",
       "\n",
       "[506 rows x 18 columns]"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_sss = pd.DataFrame(sss,columns=df.columns)\n",
    "df_sss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Heatmap için python kodunu bu hücreye yazın\n",
    "plt.figure(figsize=(12,12))\n",
    "sns.heatmap(df_sss.cov(), square=True, annot=True, fmt='.1f')\n",
    "plt.show()\n",
    "# Bilgi: Ortaya çıkan grafik korelasyon grafiğine benziyor mu? :)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}