Regression Examples in Scikit-learn|Python

Regression Picture Index of Scikit-learn

	Linear Regression
	Non-negative least squares
	Common pitfalls in interpretation of coefficients of linear models
	Lasso and Elastic Net for Sparse Signals
	Compressive sensing: tomography reconstruction with L1 prior (Lasso)
	Lasso model selection: Cross-Validation / AIC / BIC
	Joint feature selection with multi-task Lasso
	Lasso and Elastic Net
	Lasso and Elastic Net for Sparse Signals
	Lasso and Elastic Net for Sparse Signals
	Polynomial regression: extending linear models with basis functions