projectml.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyMH0GKRb/M9UUHlKLRCBIv6",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/PartishtaP/1Partishta/blob/main/projectml.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "gIooRk0V5pY4"
      },
      "outputs": [],
      "source": [
        "#Install kaggle\n",
        "!pip install -q kaggle"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import files\n",
        "files.upload()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 107
        },
        "id": "oAOn6ASt-nNd",
        "outputId": "9bf38daa-9e18-4d0f-8a49-5ef435939524"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-2889718d-b4c9-4062-b5c0-24255dfcb6df\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-2889718d-b4c9-4062-b5c0-24255dfcb6df\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script>// Copyright 2017 Google LLC\n",
              "//\n",
              "// Licensed under the Apache License, Version 2.0 (the \"License\");\n",
              "// you may not use this file except in compliance with the License.\n",
              "// You may obtain a copy of the License at\n",
              "//\n",
              "//      http://www.apache.org/licenses/LICENSE-2.0\n",
              "//\n",
              "// Unless required by applicable law or agreed to in writing, software\n",
              "// distributed under the License is distributed on an \"AS IS\" BASIS,\n",
              "// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
              "// See the License for the specific language governing permissions and\n",
              "// limitations under the License.\n",
              "\n",
              "/**\n",
              " * @fileoverview Helpers for google.colab Python module.\n",
              " */\n",
              "(function(scope) {\n",
              "function span(text, styleAttributes = {}) {\n",
              "  const element = document.createElement('span');\n",
              "  element.textContent = text;\n",
              "  for (const key of Object.keys(styleAttributes)) {\n",
              "    element.style[key] = styleAttributes[key];\n",
              "  }\n",
              "  return element;\n",
              "}\n",
              "\n",
              "// Max number of bytes which will be uploaded at a time.\n",
              "const MAX_PAYLOAD_SIZE = 100 * 1024;\n",
              "\n",
              "function _uploadFiles(inputId, outputId) {\n",
              "  const steps = uploadFilesStep(inputId, outputId);\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  // Cache steps on the outputElement to make it available for the next call\n",
              "  // to uploadFilesContinue from Python.\n",
              "  outputElement.steps = steps;\n",
              "\n",
              "  return _uploadFilesContinue(outputId);\n",
              "}\n",
              "\n",
              "// This is roughly an async generator (not supported in the browser yet),\n",
              "// where there are multiple asynchronous steps and the Python side is going\n",
              "// to poll for completion of each step.\n",
              "// This uses a Promise to block the python side on completion of each step,\n",
              "// then passes the result of the previous step as the input to the next step.\n",
              "function _uploadFilesContinue(outputId) {\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  const steps = outputElement.steps;\n",
              "\n",
              "  const next = steps.next(outputElement.lastPromiseValue);\n",
              "  return Promise.resolve(next.value.promise).then((value) => {\n",
              "    // Cache the last promise value to make it available to the next\n",
              "    // step of the generator.\n",
              "    outputElement.lastPromiseValue = value;\n",
              "    return next.value.response;\n",
              "  });\n",
              "}\n",
              "\n",
              "/**\n",
              " * Generator function which is called between each async step of the upload\n",
              " * process.\n",
              " * @param {string} inputId Element ID of the input file picker element.\n",
              " * @param {string} outputId Element ID of the output display.\n",
              " * @return {!Iterable<!Object>} Iterable of next steps.\n",
              " */\n",
              "function* uploadFilesStep(inputId, outputId) {\n",
              "  const inputElement = document.getElementById(inputId);\n",
              "  inputElement.disabled = false;\n",
              "\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  outputElement.innerHTML = '';\n",
              "\n",
              "  const pickedPromise = new Promise((resolve) => {\n",
              "    inputElement.addEventListener('change', (e) => {\n",
              "      resolve(e.target.files);\n",
              "    });\n",
              "  });\n",
              "\n",
              "  const cancel = document.createElement('button');\n",
              "  inputElement.parentElement.appendChild(cancel);\n",
              "  cancel.textContent = 'Cancel upload';\n",
              "  const cancelPromise = new Promise((resolve) => {\n",
              "    cancel.onclick = () => {\n",
              "      resolve(null);\n",
              "    };\n",
              "  });\n",
              "\n",
              "  // Wait for the user to pick the files.\n",
              "  const files = yield {\n",
              "    promise: Promise.race([pickedPromise, cancelPromise]),\n",
              "    response: {\n",
              "      action: 'starting',\n",
              "    }\n",
              "  };\n",
              "\n",
              "  cancel.remove();\n",
              "\n",
              "  // Disable the input element since further picks are not allowed.\n",
              "  inputElement.disabled = true;\n",
              "\n",
              "  if (!files) {\n",
              "    return {\n",
              "      response: {\n",
              "        action: 'complete',\n",
              "      }\n",
              "    };\n",
              "  }\n",
              "\n",
              "  for (const file of files) {\n",
              "    const li = document.createElement('li');\n",
              "    li.append(span(file.name, {fontWeight: 'bold'}));\n",
              "    li.append(span(\n",
              "        `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n",
              "        `last modified: ${\n",
              "            file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
              "                                    'n/a'} - `));\n",
              "    const percent = span('0% done');\n",
              "    li.appendChild(percent);\n",
              "\n",
              "    outputElement.appendChild(li);\n",
              "\n",
              "    const fileDataPromise = new Promise((resolve) => {\n",
              "      const reader = new FileReader();\n",
              "      reader.onload = (e) => {\n",
              "        resolve(e.target.result);\n",
              "      };\n",
              "      reader.readAsArrayBuffer(file);\n",
              "    });\n",
              "    // Wait for the data to be ready.\n",
              "    let fileData = yield {\n",
              "      promise: fileDataPromise,\n",
              "      response: {\n",
              "        action: 'continue',\n",
              "      }\n",
              "    };\n",
              "\n",
              "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
              "    let position = 0;\n",
              "    do {\n",
              "      const length = Math.min(fileData.byteLength - position, MAX_PAYLOAD_SIZE);\n",
              "      const chunk = new Uint8Array(fileData, position, length);\n",
              "      position += length;\n",
              "\n",
              "      const base64 = btoa(String.fromCharCode.apply(null, chunk));\n",
              "      yield {\n",
              "        response: {\n",
              "          action: 'append',\n",
              "          file: file.name,\n",
              "          data: base64,\n",
              "        },\n",
              "      };\n",
              "\n",
              "      let percentDone = fileData.byteLength === 0 ?\n",
              "          100 :\n",
              "          Math.round((position / fileData.byteLength) * 100);\n",
              "      percent.textContent = `${percentDone}% done`;\n",
              "\n",
              "    } while (position < fileData.byteLength);\n",
              "  }\n",
              "\n",
              "  // All done.\n",
              "  yield {\n",
              "    response: {\n",
              "      action: 'complete',\n",
              "    }\n",
              "  };\n",
              "}\n",
              "\n",
              "scope.google = scope.google || {};\n",
              "scope.google.colab = scope.google.colab || {};\n",
              "scope.google.colab._files = {\n",
              "  _uploadFiles,\n",
              "  _uploadFilesContinue,\n",
              "};\n",
              "})(self);\n",
              "</script> "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving kaggle.json to kaggle.json\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'kaggle.json': b'{\"username\":\"partishtapargal\",\"key\":\"5aff3e6dc5a3004169e9f6bf50924d7f\"}'}"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!mkdir ~/.kaggle"
      ],
      "metadata": {
        "id": "hGL7-f9m-0BU"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "! cp kaggle.json ~/.kaggle/"
      ],
      "metadata": {
        "id": "UIri1EYr_Rxq"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!chmod 600 ~/.kaggle/kaggle.json"
      ],
      "metadata": {
        "id": "42Tg3W4b_ji0"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "! kaggle datasets list"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "U9d_vyuE_vdb",
        "outputId": "67e365d7-208b-4343-c104-ea51c0286c96"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Warning: Looks like you're using an outdated API Version, please consider updating (server 1.6.7 / client 1.5.16)\n",
            "ref                                                      title                                            size  lastUpdated          downloadCount  voteCount  usabilityRating  \n",
            "-------------------------------------------------------  ----------------------------------------------  -----  -------------------  -------------  ---------  ---------------  \n",
            "syedanwarafridi/vehicle-sales-data                       Vehicle Sales Data                               19MB  2024-02-21 20:16:17           5527         91  1.0              \n",
            "tarunrm09/climate-change-indicators                      Climate change Indicators                        34KB  2024-02-22 08:53:54           2594         62  1.0              \n",
            "nelgiriyewithana/apple-quality                           Apple Quality                                   170KB  2024-01-11 14:31:07          24709        527  1.0              \n",
            "devi5723/e-commerce-cosmetics-dataset                    E-commerce Cosmetic Products                      1MB  2024-02-28 14:46:12            765         24  0.9411765        \n",
            "sazidthe1/world-gdp-growth                               World GDP Growth                                 14KB  2024-02-25 11:37:58            891         22  1.0              \n",
            "mikhail1681/walmart-sales                                Walmart Sales                                   122KB  2024-02-13 17:35:56           5059         78  1.0              \n",
            "kanchana1990/spotifys-long-hits-2014-2024                Spotify's Long Hits (2014-2024) 🎶                38KB  2024-02-23 12:39:02           1960         48  1.0              \n",
            "nelgiriyewithana/emotions                                Emotions                                         16MB  2024-02-05 16:01:39           4869        148  1.0              \n",
            "raphaelmanayon/temperature-and-ice-cream-sales           Temperature and Ice Cream Sales                   1KB  2024-02-19 18:53:52           1855         31  0.9411765        \n",
            "kapturovalexander/maang-share-prices-till-february-2024  📈💸 MAANG share prices till February 2024 😎🧑‍💻   624KB  2024-03-01 10:53:27            425         25  1.0              \n",
            "xontoloyo/data-penjualan-zara                            ZARA Sales                                       17KB  2024-02-27 05:37:53           1371         32  0.9411765        \n",
            "nbroad/gemma-rewrite-nbroad                              gemma-rewrite-nbroad                              8MB  2024-03-03 04:52:39            177         32  1.0              \n",
            "antaesterlin/walmart-commerce-data                       Walmart commerce data                            41KB  2024-02-20 23:48:17           1752         31  0.9411765        \n",
            "kanchana1990/best-buy-2024-windows-laptops               Best Buy 2024 💻 Windows Laptops                  27KB  2024-02-17 17:11:17           1064         30  1.0              \n",
            "asaniczka/upwork-job-postings-dataset-2024-50k-records   Upwork Job Postings Dataset 2024 (50K Records)   21MB  2024-02-24 10:10:59            335         23  1.0              \n",
            "mustafabayar/europe-sales-records                        Europe Sales Records                             50KB  2024-02-11 17:08:05           1506         33  0.88235295       \n",
            "dansbecker/melbourne-housing-snapshot                    Melbourne Housing Snapshot                      451KB  2018-06-05 12:52:24         140291       1441  0.7058824        \n",
            "tarunrm09/top-classical-composers                        Top Classical Composers                           4KB  2024-02-17 12:16:59            338         17  1.0              \n",
            "dhavalpatel555/us-stock-market-2020-to-2024              US Stock Market 2020 to 2024                    123KB  2024-02-19 08:06:38           1263         32  0.9411765        \n",
            "willianoliveiragibin/drug-overdose-death                 Drug overdose death                              582B  2024-02-22 20:36:47           1710         39  1.0              \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "https://www.kaggle.com/datasets/peacehegemony/494-fox-labeled-image-dataset/download?datasetVersionNumber=1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 124
        },
        "id": "X8XBT5hY__V_",
        "outputId": "4633c21d-89a0-402f-9473-bd5751fd4489"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "error",
          "ename": "SyntaxError",
          "evalue": "invalid syntax (<ipython-input-8-74623a763d69>, line 1)",
          "traceback": [
            "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-8-74623a763d69>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    https://www.kaggle.com/datasets/peacehegemony/494-fox-labeled-image-dataset/download?datasetVersionNumber=1\u001b[0m\n\u001b[0m          ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "kaggle datasets download -d peacehegemony/494-fox-labeled-image-dataset"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 106
        },
        "id": "urXBA82iCJLd",
        "outputId": "0a019255-11ab-4648-80b8-ad129b6b4a92"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "error",
          "ename": "SyntaxError",
          "evalue": "invalid syntax (<ipython-input-10-d05bf0d803ae>, line 1)",
          "traceback": [
            "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-10-d05bf0d803ae>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    kaggle datasets download -d peacehegemony/494-fox-labeled-image-dataset\u001b[0m\n\u001b[0m           ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!kaggle datasets download -d peacehegemony/494-fox-labeled-image-dataset"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e_GYzvCGCzT0",
        "outputId": "c02a50f9-3c37-4f8e-8115-8f1d8a1263b0"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading 494-fox-labeled-image-dataset.zip to /content\n",
            "\r  0% 0.00/8.22M [00:00<?, ?B/s]\n",
            "\r100% 8.22M/8.22M [00:00<00:00, 157MB/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!unzip 494-fox-labeled-image-dataset.zip"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3mn2p5p_DTXB",
        "outputId": "56f050a8-4b43-4562-9542-e27e0e2545e8"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Archive:  494-fox-labeled-image-dataset.zip\n",
            "  inflating: images.cv_8rk8h3aklzqjr2tcx76b7/data/test/animal fox/10PSL8T23UZC.jpg  \n",
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            "  inflating: images.cv_8rk8h3aklzqjr2tcx76b7/data/val/animal fox/XW5PFYWW3QKG.jpg  \n",
            "  inflating: images.cv_8rk8h3aklzqjr2tcx76b7/readme.txt  \n"
          ]
        }
      ]
    }
  ]
}