Python Idle
The agency's board wants proof that machine learning is worth the investment. No hand-holding this time: you get the raw housing CSV and a target R-squared of 0.6. Choose your own features, build your own pipeline, and deliver predictions that stand up to scrutiny. This is your boss battle — everything you've learned about regression comes together here.
~30 minproject510 rows
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Goals: 4 tests
should create a trained model with .predict
should achieve R-squared > 0.6
should generate predictions array
should use at least 3 features
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