The aim of this article is to fit and interpret a Multiple Linear Regression and Binary Logistic Regression using Statsmodels python package similar to statistical programming language R.
Machine Learning Model Explanation using Shapley Values. Learn how to interpret a black box model using SHAP (SHapley Additive exPlanations)
Learn how to train an MLR model, interpret its coefficients and perform a stepwise regression. The aim of this article to illustrate how to fit a multiple linear regression model in the R statistical programming language and interpret the coefficients.
The scientific method as the tool that has served us to find explanations about how things work and make decisions, brought us the biggest challenge that until 2020.