scikit-learn Cookbook - Second Edition

Linear Models with scikit-learn

This chapter contains the following recipes:

• Fitting a line through data
• Fitting a line through data with machine learning
• Evaluating the linear regression model
• Using ridge regression to overcome linear regression's shortfalls
• Optimizing the ridge regression parameter
• Using sparsity to regularize models
• Taking a more fundamental approach to regularization with LARS