diff --git a/.gitignore b/.gitignore
index f780d576..f3823485 100644
--- a/.gitignore
+++ b/.gitignore
@@ -11,7 +11,7 @@ dist
*.user
*.userosscache
*.sln.docstates
-
+.venv
# User-specific files (MonoDevelop/Xamarin Studio)
*.userprefs
diff --git a/2-Regression/1-Tools/notebook.ipynb b/2-Regression/1-Tools/notebook.ipynb
index e69de29b..fb4c856d 100644
--- a/2-Regression/1-Tools/notebook.ipynb
+++ b/2-Regression/1-Tools/notebook.ipynb
@@ -0,0 +1,169 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Welcome to my Notebook"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(442, 10)\n",
+ "[ 0.03807591 0.05068012 0.06169621 0.02187239 -0.0442235 -0.03482076\n",
+ " -0.04340085 -0.00259226 0.01990749 -0.01764613]\n"
+ ]
+ }
+ ],
+ "source": [
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "from sklearn import datasets, linear_model, model_selection\n",
+ "\n",
+ "# Load the diabetes dataset\n",
+ "X, y = datasets.load_diabetes(return_X_y = True)\n",
+ "\n",
+ "# Print the shape of the data and the first row\n",
+ "print(X.shape)\n",
+ "print(X[0])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(442,)\n",
+ "(442, 1)\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Extract the column at index 2\n",
+ "X = X[:, 2]\n",
+ "print(X.shape)\n",
+ "\n",
+ "# Reshape to a 2D array\n",
+ "X = X.reshape((-1, 1))\n",
+ "print(X.shape)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Split the data into training and test data\n",
+ "X_train, X_test, y_train, y_test = model_selection.train_test_split(X, y, test_size=0.33)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "LinearRegression() In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. "
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Create a scatter plot\n",
+ "plt.scatter(X_test, y_test, color='black')\n",
+ "\n",
+ "# Plot the predictions\n",
+ "plt.plot(X_test, y_pred, color='blue', linewidth=3)\n",
+ "\n",
+ "# Add labels and a title\n",
+ "plt.xlabel('Scaled BMIs')\n",
+ "plt.ylabel('Disease Progression')\n",
+ "plt.title('A Graph Plot Showing Diabetes Progression Against BMI')\n",
+ "\n",
+ "# Display plot\n",
+ "plt.show()"
+ ]
+ }
+ ],
+ "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": "3.9.7"
+ },
+ "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}