diff --git a/datasets/Titanic.ipynb b/datasets/Titanic.ipynb
index ec73ac5..8f24204 100644
--- a/datasets/Titanic.ipynb
+++ b/datasets/Titanic.ipynb
@@ -10,9 +10,43 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "ecd595e6-4de0-45f1-8022-92ad3c47e540",
    "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Collecting pandas\n",
+      "  Downloading pandas-3.0.6-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.metadata (79 kB)\n",
+      "Collecting numpy>=2.3.3 (from pandas)\n",
+      "  Downloading numpy-2.5.3-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (6.6 kB)\n",
+      "Requirement already satisfied: python-dateutil>=2.8.2 in /home/codespace/.local/lib/python3.14/site-packages (from pandas) (2.9.0.post0)\n",
+      "Requirement already satisfied: six>=1.5 in /home/codespace/.local/lib/python3.14/site-packages (from python-dateutil>=2.8.2->pandas) (1.17.0)\n",
+      "Downloading pandas-3.0.6-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (10.8 MB)\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m10.8/10.8 MB\u001b[0m \u001b[31m44.2 MB/s\u001b[0m  \u001b[33m0:00:00\u001b[0m6m0:00:01\u001b[0m\n",
+      "\u001b[?25hDownloading numpy-2.5.3-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (16.7 MB)\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m16.7/16.7 MB\u001b[0m \u001b[31m47.2 MB/s\u001b[0m  \u001b[33m0:00:00\u001b[0m6m0:00:01\u001b[0m\n",
+      "\u001b[?25hInstalling collected packages: numpy, pandas\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2/2\u001b[0m [pandas]2m1/2\u001b[0m [pandas]\n",
+      "\u001b[1A\u001b[2KSuccessfully installed numpy-2.5.3 pandas-3.0.6\n",
+      "Requirement already satisfied: numpy in /usr/local/python/3.14.2/lib/python3.14/site-packages (2.5.3)\n"
+     ]
+    }
+   ],
+   "source": [
+    "!pip install pandas\n",
+    "!pip install numpy\n",
+    "import pandas as pd\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3872ff90-6606-4a86-98b8-7dae17feb4ea",
+   "metadata": {},
    "outputs": [],
    "source": []
   }