Refactor error messages and function signatures across multiple notebooks for clarity and consistency

- Updated error messages in Gauss method and numerical methods to use variables for better readability.
- Added return type hints to function signatures in various notebooks to improve code documentation.
- Corrected minor grammatical issues in docstrings for better clarity.
- Adjusted print statements and list concatenations for improved output formatting.
- Enhanced plotting functions to ensure consistent figure handling.

M1/Statistical Learning/TP0_Intro_Jupyter_Python.ipynb

@@ -902,7 +902,7 @@
     }
    ],
    "source": [
-    "def divisible_by_3_and13(n):\n",
+    "def divisible_by_3_and13(n) -> None:\n",
     "    if n % 3 == 0 and n % 13 == 0:\n",
     "        print(n, \"is divisible by 3 and 13\")\n",
     "    else:\n",

M1/Statistical Learning/TP4_Ridge_Lasso_and_CV.ipynb

@@ -1084,7 +1084,7 @@
    ],
    "source": [
     "# We remove the players for whom Salary is missing\n",
-    "hitters.dropna(subset=[\"Salary\"], inplace=True)\n",
+    "hitters = hitters.dropna(subset=[\"Salary\"])\n",
     "\n",
     "X = hitters.select_dtypes(include=int)\n",
     "Y = hitters[\"Salary\"]\n",

M1/Statistical Learning/TP5_Naive_Bayes.ipynb

@@ -227,7 +227,8 @@
    "source": [
     "sms = pd.read_csv(\"data/spam.csv\", encoding=\"latin\")\n",
     "\n",
-    "sms.head()"
+    "sms.head()\n",
+    "sms = "
    ]
   },
   {
@@ -243,7 +244,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "sms.rename(columns={\"v1\": \"Label\", \"v2\": \"Text\"}, inplace=True)"
+    "sms.rename(columns={\"v1\": \"Label\", \"v2\": \"Text\"})"
    ]
   },
   {