diff --git a/M2/Machine Learning/TP_2/2025_TP_2_M2_ISF.ipynb b/M2/Machine Learning/TP_2/2025_TP_2_M2_ISF.ipynb
index 73aaa1c..7a7913a 100644
--- a/M2/Machine Learning/TP_2/2025_TP_2_M2_ISF.ipynb	
+++ b/M2/Machine Learning/TP_2/2025_TP_2_M2_ISF.ipynb	
@@ -44,7 +44,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "97d58527",
+   "id": "be5e7be4",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -52,13 +52,13 @@
     "import pandas as pd\n",
     "import numpy as np\n",
     "\n",
-    "#Graphiques \n",
+    "# Graphiques\n",
     "import seaborn as sns\n",
     "sns.set()\n",
     "import plotly.express as px\n",
     "import plotly.graph_objects as gp\n",
     "\n",
-    "#Statistiques\n",
+    "# Statistiques\n",
     "from scipy.stats import chi2_contingency\n",
     "\n",
     "# Machine Learning\n",
@@ -78,7 +78,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "c9597b48",
    "metadata": {},
    "outputs": [],
@@ -140,8 +140,7 @@
     "#Itinitialisation algo\n",
     "kmeans = KMeans(init=init_points.reshape(-1,1),\n",
     "                     n_clusters=#Complétez avec votre code,\n",
-    "                     n_init = 1)                   \n",
-    "        "
+    "                     n_init = 1)"
    ]
   },
   {
@@ -155,7 +154,7 @@
     "data_x = np.array(x)\n",
     "data_x = data_x.reshape(-1,1)\n",
     "\n",
-    "# Fitting \n",
+    "# Fitting\n",
     "kmeans.fit(data_x)"
    ]
   },
@@ -180,7 +179,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "#Représentation Graphique \n",
+    "#Représentation Graphique\n",
     "plt.scatter(x, y, c=labels, cmap='viridis')\n",
     "plt.show()"
    ]
@@ -242,7 +241,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "#Complétez avec votre code "
+    "#Complétez avec votre code"
    ]
   },
   {
@@ -519,7 +518,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "studies",
    "language": "python",
    "name": "python3"
   },
@@ -533,7 +532,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.13.3"
   }
  },
  "nbformat": 4,