Refactor code formatting and improve readability in Jupyter notebooks for TP_4 and TP_5

- Adjusted indentation and line breaks for better clarity in function definitions and import statements.
- Standardized string quotes for consistency across the codebase.
- Enhanced readability of DataFrame creation and manipulation by breaking long lines into multiple lines.
- Cleaned up print statements and comments for improved understanding.
- Ensured consistent use of whitespace around operators and after commas.

M1/Statistical Learning/TP2_KNN.ipynb

@@ -1412,7 +1412,10 @@
     "f, axarr = plt.subplots(2, 3, sharex=\"col\", sharey=\"row\", figsize=(15, 12))\n",
     "\n",
     "for idx, clf, tt in zip(\n",
-    "    product([0, 1, 2], [0, 1, 2]), KNNs, [f\"KNN (k={k})\" for k in nb_neighbors], strict=False\n",
+    "    product([0, 1, 2], [0, 1, 2]),\n",
+    "    KNNs,\n",
+    "    [f\"KNN (k={k})\" for k in nb_neighbors],\n",
+    "    strict=False,\n",
     "):\n",
     "    Z = clf.predict(np.c_[xx.ravel(), yy.ravel()])\n",
     "    Z = Z.reshape(xx.shape)\n",

M1/Statistical Learning/TP4_Ridge_Lasso_and_CV.ipynb

@@ -2545,7 +2545,9 @@
     "\n",
     "MSEs = []\n",
     "for name, estimator in zip(\n",
-    "    [\"LassoCV\", \"LassoBIC\", \"RidgeCV\", \"OLS\"], [lassoCV, lassoBIC, ridgeCV, linReg], strict=False\n",
+    "    [\"LassoCV\", \"LassoBIC\", \"RidgeCV\", \"OLS\"],\n",
+    "    [lassoCV, lassoBIC, ridgeCV, linReg],\n",
+    "    strict=False,\n",
     "):\n",
     "    y_pred = estimator.predict(Xtest)\n",
     "    MSE = mean_squared_error(Ytest, y_pred)\n",