minor updates

Author: florian-huber

notebooks/18_machine_learning_algorithms_3.ipynb

@@ -190,10 +190,19 @@
    "cell_type": "code",
    "execution_count": 2,
    "id": "c42c7331-88e2-4403-a73d-734355274ed4",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
-    "filename = \"../datasets/penguins_size.csv\"  # contains some changes with respect to the original dataset!\n",
+    "# The \"classical\" penguins dataset, but with some additional changes \n",
+    "filename = \"../datasets/penguins_size.csv\"  \n",
+    "# or: filename = r\"https://raw.githubusercontent.com/florian-huber/data_science_course/refs/heads/main/datasets/penguins_size.csv\"\n",
+    "\n",
     "data = pd.read_csv(filename)"
    ]
   },

notebooks/19_machine_learning_techniques.ipynb

@@ -305,7 +305,13 @@
    "cell_type": "code",
    "execution_count": 2,
    "id": "c42c7331-88e2-4403-a73d-734355274ed4",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "filename = \"../datasets/obesity_dataset.csv\"\n",
@@ -1055,7 +1061,13 @@
    "cell_type": "code",
    "execution_count": 10,
    "id": "15d7fef0-654e-41f3-aa46-6782f49e2f53",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "from sklearn.model_selection import train_test_split\n",

notebooks/20_machine_learning_ensembles.ipynb

@@ -3,7 +3,13 @@
   {
    "cell_type": "markdown",
    "id": "6128f2b2-403b-488e-9a4e-44a791ff5e56",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "# Ensemble Models and Outlook\n",
     "\n",
@@ -947,7 +953,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.9.18"
   }
  },
  "nbformat": 4,