Building the Linear Regression Model

Author: Lastrophysicien

4_data_analysis/MLProject.ipynb

@@ -634,11 +634,60 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "fceebc18",
+   "cell_type": "markdown",
+   "id": "ab51a910",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "87025184",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "69f4c652",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "00a83671",
+   "metadata": {},
+   "source": [
+    "6. Building the Linear Regression Model"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3231b2b5",
+   "metadata": {},
+   "source": [
+    "# Step 6.1: Create and train the model\n",
+    "print(\"=== BUILDING LINEAR REGRESSION MODEL ===\")\n",
+    "\n",
+    "# Initialize the model\n",
+    "model = LinearRegression()\n",
+    "\n",
+    "# Train the model\n",
+    "model.fit(X_train_scaled, y_train)\n",
+    "\n",
+    "print(\"Model training completed!\")\n",
+    "print(f\"\\nModel Coefficients: {model.coef_}\")\n",
+    "print(f\"Model Intercept: {model.intercept_:.2f}\")\n",
+    "\n",
+    "# Step 6.2: Make predictions\n",
+    "y_pred_train = model.predict(X_train_scaled)\n",
+    "y_pred_test = model.predict(X_test_scaled)\n",
+    "\n",
+    "print(\"\\nPredictions generated for training and testing sets\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "59382706",
    "metadata": {},
-   "outputs": [],
    "source": []
   }
  ],