Updated lesson 26 activity and added solution

Author: gperdrizet

notebooks/unit4/lesson_26/Lesson_26_activity.ipynb

@@ -87,18 +87,8 @@
     "# Define the label\n",
     "label = # YOUR CODE HERE\n",
     "\n",
-    "# Define numerical features to apply IQR clipping\n",
-    "numerical_features = # YOUR CODE HERE\n",
-    "\n",
-    "# Define ordinal features to encode\n",
-    "ordinal_features = # YOUR CODE HERE\n",
-    "\n",
-    "# Define ordinal categories in order\n",
-    "education_categories = # YOUR CODE HERE\n",
-    "income_categories = # YOUR CODE HERE\n",
-    "\n",
-    "# Define features for one-hot encoding\n",
-    "nominal_features = # YOUR CODE HERE\n",
+    "# Define numerical, ordinal and nominal features\n",
+    "# YOUR CODE HERE\n",
     "\n",
     "# Complete feature list\n",
     "features = # YOUR CODE HERE"
@@ -214,9 +204,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# YOUR CODE HERE: create and fit OneHotEncoder, transform features, and concatenate back to dataframes\n",
-    "# Remember to set the index of encoded_features_df to match training_df.index and testing_df.index\n",
-    "# Don't forget to reset_index(drop=True) after concatenation"
+    "# YOUR CODE HERE: create and fit OneHotEncoder, transform features, and concatenate back to dataframes"
    ]
   },
   {