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3.14 Explore more

More things

  • Try to exclude least useful features

Use scikit-learn in project of last week

  • Re-implement train/val/test split using scikit-learn in the project from the last week
  • Also, instead of our own linear regression, use LinearRegression (not regularized) and RidgeRegression (regularized). Find the best regularization parameter for Ridge
  • There are other ways to implement one-hot encoding. E.g. using the OneHotEncoding class. Check how to use it here.
  • Sometimes numerical features require scaling, especially for iterative solves like "lbfgs". Check how to use StandardScaler for that here.

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