remove multiple lin reg from constant model notes

DS-100 · Oct 2, 2023 · aa5f188 · aa5f188
1 parent 63d83a3
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diff --git a/constant_model_loss_transformations/loss_transformations.ipynb b/constant_model_loss_transformations/loss_transformations.ipynb
@@ -1112,49 +1112,6 @@
     "\n",
     "Practically, many other mathematical operations that modify the relative scales of `\"Age\"` and `\"Length\"` could have worked here.\n"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Notation for Multiple Linear Regression\n",
-    "\n",
-    "### Terminology\n",
-    "There are several equivalent terms in the context of regression. The ones we use most often for this course are bolded. \n",
-    "* $x$ can be called a\n",
-    "    * **Feature(s)**\n",
-    "    * Covariate(s)\n",
-    "    * **Independent variable(s)**\n",
-    "    * Explanatory variable(s)\n",
-    "    * Predictor(s)\n",
-    "    * Input(s)\n",
-    "    * Regressor(s)\n",
-    "* $y$ can be called an\n",
-    "    * **Output**\n",
-    "    * Outcome\n",
-    "    * **Response**\n",
-    "    * Dependent variable\n",
-    "* $\\hat{y}$ can be called a\n",
-    "    * **Prediction**\n",
-    "    * Predicted response\n",
-    "    * Estimated value\n",
-    "* $\\theta$ can be called a\n",
-    "    * **Weight(s)**\n",
-    "    * **Parameter(s)**\n",
-    "    * Coefficient(s)\n",
-    "* $hat{\\theta}$ can be called a\n",
-    "    * **Estimator(s)**\n",
-    "    * **Optimal parameter(s)**\n",
-    "* A datapoint $(x, y)$ is also called an **observation**.\n",
-    "\n",
-    "### Multiple Linear Regression Model\n",
-    "Define the multiple linear regression model:\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": []
   }
  ],
  "metadata": {
@@ -1173,7 +1130,7 @@
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    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
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+   "version": "3.10.9"
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