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Predict California Home Prices

Guided regression project · 20 steps · Linear regression · random forest

About

Build and compare two regression models end-to-end in your browser. No install needed.

Data

Loaded from scikit-learn via fetch_california_housing. Target is median house value in $100k units.

Task

Complete TODOs top-to-bottom. Use hints first. Switch to Sample solution only when stuck.

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Cell 1

Step 1: Imports

Cell 2

Step 2: Load sklearn dataset

Cell 3

Step 3: Shape

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Step 4: Head

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Step 5: Summary stats

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Step 6: Target histogram

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Step 7: Target cap

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Step 8: Scatter (MedInc)

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Step 9: Scatter (AveRooms)

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Step 10: Scatter (HouseAge)

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Step 11: Correlations

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Step 12: Train/test split

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Step 13: Fit linear model

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Step 14: Linear RMSE

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Step 15: Linear actual vs predicted

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Step 16: Linear residuals

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Step 17: Fit random forest

Cell 18

Step 18: Compare RMSE

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Step 19: RF actual vs predicted

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Step 20: RF feature importance