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# A Random Forest for House Prices

In this project we solve the house price prediction problem from Worked Example: House Prices II with a random forest. Read Bagging before you start.

Task: 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.

    # your solution

Task: Show feature importances based on `RandomForestRegressor.feature_importances_`.

    # your solution

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

    # your solution