diff --git a/02_end_to_end_machine_learning_project.ipynb b/02_end_to_end_machine_learning_project.ipynb
index f8fe208..167ab7c 100644
--- a/02_end_to_end_machine_learning_project.ipynb
+++ b/02_end_to_end_machine_learning_project.ipynb
@@ -109,22 +109,19 @@
    "outputs": [],
    "source": [
     "from pathlib import Path\n",
+    "import pandas as pd\n",
     "import tarfile\n",
     "import urllib.request\n",
     "\n",
-    "import pandas as pd\n",
-    "\n",
     "def load_housing_data():\n",
-    "    housing_path = Path() / \"datasets\" / \"housing\"\n",
-    "    if not (housing_path / \"housing.csv\").is_file():\n",
-    "        housing_path.mkdir(parents=True, exist_ok=True)\n",
-    "        data_root = \"https://github.com/ageron/data/raw/main/\"\n",
-    "        url = data_root + \"housing/housing.tgz\"\n",
-    "        tgz_path = housing_path / \"housing.tgz\"\n",
-    "        urllib.request.urlretrieve(url, tgz_path)\n",
-    "        with tarfile.open(tgz_path) as housing_tgz:\n",
-    "            housing_tgz.extractall(path=housing_path)\n",
-    "    return pd.read_csv(housing_path / \"housing.csv\")\n",
+    "    tarball_path = Path(\"datasets/housing.tgz\")\n",
+    "    if not tarball_path.is_file():\n",
+    "        Path(\"datasets\").mkdir(parents=True, exist_ok=True)\n",
+    "        url = \"https://github.com/ageron/data/raw/main/housing.tgz\"\n",
+    "        urllib.request.urlretrieve(url, tarball_path)\n",
+    "        with tarfile.open(tarball_path) as housing_tarball:\n",
+    "            housing_tarball.extractall(path=\"datasets\")\n",
+    "    return pd.read_csv(Path(\"datasets/housing/housing.csv\"))\n",
     "\n",
     "housing = load_housing_data()"
    ]