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Introduction to Regression Models

Welcome

Linear regression

Linear regression
Regression diagnostics

Lasso, Splines & GAM

Hitters data preparation
Lasso regression
Regression splines
Generalized Additive Models (GAM)

Decision Trees

Random forest in scikit-learn
Gradient Boosting in scikit-learn
XGBoost
Gradient Boosting with XGBoost

Combine predictors

Ensemble meta-estimator
Stacking

Case Duke

Case study
Data
Create data prep file
Statsmodels
Scikit-learn

Case Happy

Simple statsmodels model
Simple scikit learn model
Simple regression model

Case California housing

Machine Learning project

References

Bibliography

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Index

By Jan Kirenz
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