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Project: House price prediction with random forests

Use the extended and preprocessed German housing data set to predict house prices. Train a random forest regressor with Scikit-Learn. Try to get similar or better prediction quality as for Ridge regression.

Show feature importances based on RandomForestRegressor.feature_importances_.

Visualize one of the trees in the forest. Only show the first few depth levels.

Solution

• solution.ipynb (Jupyter notebook with code, model evaluation, feature importances, tree visualization, 2 points)

Zip the file, name the zip file forename_surname.zip, and send it to the lecturer.