diff --git a/titanic/titanic_models.ipynb b/titanic/titanic_models.ipynb
index 68e06b1..385faed 100644
--- a/titanic/titanic_models.ipynb
+++ b/titanic/titanic_models.ipynb
@@ -34,7 +34,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -449,34 +449,6 @@
     "predicted_data[\"Survived\"] = predictions\n",
     "print(predicted_data)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "MlflowException",
-     "evalue": "Registered Model with name=tracking-quickstart not found",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mMlflowException\u001b[0m                           Traceback (most recent call last)",
-      "Cell \u001b[1;32mIn[9], line 3\u001b[0m\n\u001b[0;32m      1\u001b[0m get_ipython()\u001b[38;5;241m.\u001b[39msystem(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m cd ..\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m      2\u001b[0m client \u001b[38;5;241m=\u001b[39m MlflowClient()\n\u001b[1;32m----> 3\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43mclient\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_registered_model\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtracking-quickstart\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m)\n\u001b[0;32m      4\u001b[0m \u001b[38;5;66;03m# Delete a registered model along with all its versions\u001b[39;00m\n\u001b[0;32m      5\u001b[0m client\u001b[38;5;241m.\u001b[39mdelete_registered_model(name\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtracking-quickstart\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
-      "File \u001b[1;32mc:\\Users\\RT277831\\Documents\\Projets\\Dauphine\\ML_OPS\\venv\\Lib\\site-packages\\mlflow\\tracking\\client.py:3394\u001b[0m, in \u001b[0;36mMlflowClient.get_registered_model\u001b[1;34m(self, name)\u001b[0m\n\u001b[0;32m   3353\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_registered_model\u001b[39m(\u001b[38;5;28mself\u001b[39m, name: \u001b[38;5;28mstr\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m RegisteredModel:\n\u001b[0;32m   3354\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Get a registered model.\u001b[39;00m\n\u001b[0;32m   3355\u001b[0m \n\u001b[0;32m   3356\u001b[0m \u001b[38;5;124;03m    Args:\u001b[39;00m\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m   3392\u001b[0m \u001b[38;5;124;03m        description: This sentiment analysis model classifies the tone-happy, sad, angry.\u001b[39;00m\n\u001b[0;32m   3393\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m-> 3394\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_registry_client\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_registered_model\u001b[49m\u001b[43m(\u001b[49m\u001b[43mname\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[1;32mc:\\Users\\RT277831\\Documents\\Projets\\Dauphine\\ML_OPS\\venv\\Lib\\site-packages\\mlflow\\tracking\\_model_registry\\client.py:137\u001b[0m, in \u001b[0;36mModelRegistryClient.get_registered_model\u001b[1;34m(self, name)\u001b[0m\n\u001b[0;32m    129\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_registered_model\u001b[39m(\u001b[38;5;28mself\u001b[39m, name):\n\u001b[0;32m    130\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    131\u001b[0m \u001b[38;5;124;03m    Args:\u001b[39;00m\n\u001b[0;32m    132\u001b[0m \u001b[38;5;124;03m        name: Name of the registered model to get.\u001b[39;00m\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    135\u001b[0m \u001b[38;5;124;03m        A single :py:class:`mlflow.entities.model_registry.RegisteredModel` object.\u001b[39;00m\n\u001b[0;32m    136\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m--> 137\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstore\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_registered_model\u001b[49m\u001b[43m(\u001b[49m\u001b[43mname\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[1;32mc:\\Users\\RT277831\\Documents\\Projets\\Dauphine\\ML_OPS\\venv\\Lib\\site-packages\\mlflow\\store\\model_registry\\file_store.py:404\u001b[0m, in \u001b[0;36mFileStore.get_registered_model\u001b[1;34m(self, name)\u001b[0m\n\u001b[0;32m    402\u001b[0m model_path \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_registered_model_path(name)\n\u001b[0;32m    403\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m exists(model_path):\n\u001b[1;32m--> 404\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m MlflowException(\n\u001b[0;32m    405\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRegistered Model with name=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m not found\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m    406\u001b[0m         RESOURCE_DOES_NOT_EXIST,\n\u001b[0;32m    407\u001b[0m     )\n\u001b[0;32m    408\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_registered_model_from_path(model_path)\n",
-      "\u001b[1;31mMlflowException\u001b[0m: Registered Model with name=tracking-quickstart not found"
-     ]
-    }
-   ],
-   "source": [
-    "registry_uri = \n",
-    "client = MlflowClient()\n",
-    "print(client.get_registered_model(\"tracking-quickstart\"))\n",
-    "# Delete a registered model along with all its versions\n",
-    "client.delete_registered_model(name=\"tracking-quickstart\")"
-   ]
   }
  ],
  "metadata": {