fd ohe

Author: adarsh0806

projects/finding_donors/finding_donors.ipynb

@@ -237,7 +237,7 @@
     "| 2 |  A  |  | 1 | 0 | 0 |\n",
     "\n",
     "Additionally, as with the non-numeric features, we need to convert the non-numeric target label, `'income'` to numerical values for the learning algorithm to work. Since there are only two possible categories for this label (\"<=50K\" and \">50K\"), we can avoid using one-hot encoding and simply encode these two categories as `0` and `1`, respectively. In code cell below, you will need to implement the following:\n",
-    " - Use [`pandas.get_dummies()`](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.get_dummies.html?highlight=get_dummies#pandas.get_dummies) to perform one-hot encoding on the `'features_raw'` data.\n",
+    " - Use [`pandas.get_dummies()`](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.get_dummies.html?highlight=get_dummies#pandas.get_dummies) to perform one-hot encoding on the `'features_log_minmax_transform'` data.\n",
     " - Convert the target label `'income_raw'` to numerical entries.\n",
     "   - Set records with \"<=50K\" to `0` and records with \">50K\" to `1`."
    ]