Wrapper, filter and embedded methods with Python
Interaction Effects and Polynomials in Multiple Linear Regression
Automated evaluation of interaction/polynomial terms in OLS regression
Multicollinearity
Understand and treat multicollinearity
Diagnostics for Leverage and Influence
Detecting outliers, leverage values and influential observations with statsmodels.api
Transforming Variables
Box-Cox, Yeo-Johnson and Quantile transformations from the sklearn package help transform data for better model fit.
Scaling, Centering and Standardization
Scaling, centering and standardizing with Sci-Kit in Python
OLS Regression: Boston Housing Dataset
The article introduces multiple OLS regression with Scikit-learn library in Python. The basic assumptions of linear regression are explained and code is shown to demonstrate how to detect problems with fit and accuracy.
Manatee Data: Simple OLS Regression
Simple Ordinary Least Squares Regression with statsmodels package
Manatee Data: General Linear Models
An explanation of how regression works: Manatee deaths and the proliferation of boats