diff --git a/01_the_machine_learning_landscape.ipynb b/01_the_machine_learning_landscape.ipynb
index fb172c7..8993776 100644
--- a/01_the_machine_learning_landscape.ipynb
+++ b/01_the_machine_learning_landscape.ipynb
@@ -111,41 +111,6 @@
     "plt.rc('ytick', labelsize=10)"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Download `lifesat.csv` from github, unless it's already available locally:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Downloading lifesat.csv\n"
-     ]
-    }
-   ],
-   "source": [
-    "from pathlib import Path\n",
-    "import urllib.request\n",
-    "\n",
-    "datapath = Path() / \"datasets\" / \"lifesat\"\n",
-    "datapath.mkdir(parents=True, exist_ok=True)\n",
-    "\n",
-    "data_root = \"https://github.com/ageron/data/raw/main/\"\n",
-    "filename = \"lifesat.csv\"\n",
-    "if not (datapath / filename).is_file():\n",
-    "    print(\"Downloading\", filename)\n",
-    "    url = data_root + \"lifesat/\" + filename\n",
-    "    urllib.request.urlretrieve(url, datapath / filename)"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -155,7 +120,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -179,15 +144,14 @@
     }
    ],
    "source": [
-    "from pathlib import Path\n",
-    "\n",
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "import pandas as pd\n",
     "from sklearn.linear_model import LinearRegression\n",
     "\n",
-    "# Load and prepare the data\n",
-    "lifesat = pd.read_csv(Path() / \"datasets\" / \"lifesat\" / \"lifesat.csv\")\n",
+    "# Download and prepare the data\n",
+    "data_root = \"https://github.com/ageron/data/raw/main/\"\n",
+    "lifesat = pd.read_csv(data_root + \"lifesat/lifesat.csv\")\n",
     "X = lifesat[[\"GDP per capita (USD)\"]].values\n",
     "y = lifesat[[\"Life satisfaction\"]].values\n",
     "\n",
@@ -232,7 +196,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -279,10 +243,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
+    "from pathlib import Path\n",
+    "\n",
     "# Where to save the figures\n",
     "IMAGES_PATH = Path() / \"images\" / \"fundamentals\"\n",
     "IMAGES_PATH.mkdir(parents=True, exist_ok=True)\n",
@@ -312,7 +278,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -325,6 +291,12 @@
     }
    ],
    "source": [
+    "import urllib.request\n",
+    "\n",
+    "datapath = Path() / \"datasets\" / \"lifesat\"\n",
+    "datapath.mkdir(parents=True, exist_ok=True)\n",
+    "\n",
+    "data_root = \"https://github.com/ageron/data/raw/main/\"\n",
     "for filename in (\"oecd_bli.csv\", \"gdp_per_capita.csv\"):\n",
     "    if not (datapath / filename).is_file():\n",
     "        print(\"Downloading\", filename)\n",
@@ -334,7 +306,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -351,7 +323,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -417,7 +389,7 @@
        "Algeria                              10681.679297"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -444,7 +416,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -717,7 +689,7 @@
        "[5 rows x 24 columns]"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -738,7 +710,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -811,7 +783,7 @@
        "Chile                 23324.524751                6.5"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -834,7 +806,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -907,7 +879,7 @@
        "Hungary          31007.768407                5.6"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -923,7 +895,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -933,7 +905,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -984,7 +956,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -1069,7 +1041,7 @@
        "United States          60235.728492                6.9"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1081,7 +1053,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -1126,7 +1098,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -1152,7 +1124,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -1188,7 +1160,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -1197,7 +1169,7 @@
        "37655.1803457421"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1209,7 +1181,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -1218,7 +1190,7 @@
        "6.301656332738056"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1230,7 +1202,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
@@ -1271,7 +1243,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -1368,7 +1340,7 @@
        "Luxembourg           110261.157353                6.9"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1381,7 +1353,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1400,7 +1372,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -1448,7 +1420,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -1491,7 +1463,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -1505,7 +1477,7 @@
        "Name: Life satisfaction, dtype: float64"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1517,7 +1489,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -1633,7 +1605,7 @@
        "Switzerland                         68393.306004"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1645,7 +1617,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
@@ -1727,9 +1699,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "homl3",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "homl3"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -1741,7 +1713,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.12"
+   "version": "3.9.10"
   },
   "metadata": {
    "interpreter": {