Modelselect package helps get an Optimal Linear Regression Model by removing insignificant variables and solve multicollinearity problems I developed a small package called modelselect, which…
A Convenient Stepwise Regression Package to Help You Select Features in Python
Display how to apply stepwise regression with a concrete real-world example Stepwise regression is a very helpful approach to select the statistic significant predictors in…
Develop a Classical Linear Regression Model with Python (III): Model Improvement
A convenient Python function for model improvement by dropping insignificant variables and solve multicollinearity and dummy variables trap Part I: Model Estimation Part II: Model…
Develop a Classical Linear Regression Model with Python (II): Model Diagnostics
Model Diagnostics are an integral part of the model development process, which help us judge whether a model is good or bad Part I: Model Estimation…
Develop a Classical Linear Regression Model with Python (I): Model Estimation
A real world project using Python Statsmodels to display model estimation process of linear regression model In the previous posts, we have talked about how…
