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02_end_to_end_machine_learning_project, Section 3.1 "Data Cleaning". Towards the end of the section, there is a cell defining an outlier predicate:
from sklearn.ensemble import IsolationForest isolation_forest = IsolationForest(random_state=42) outlier_pred = isolation_forest.fit_predict(X)
It would be helpful to show the effect of this predicate. This can be as simple as adding a followup cell with:
len(housing.iloc[outlier_pred == 1])
The text was updated successfully, but these errors were encountered:
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02_end_to_end_machine_learning_project, Section 3.1 "Data Cleaning". Towards the end of the section, there is a cell defining an outlier predicate:
It would be helpful to show the effect of this predicate. This can be as simple as adding a followup cell with:
The text was updated successfully, but these errors were encountered: