I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

A regression shows the extent to which changes in a "dependent variable," which is put on the y-axis, can be attributed to changes in an "explanatory variable," which is placed on the x-axis.

This article is concerned with the selection of subsets of predictor variables in a linear regression model for the prediction of a dependent variable. It is based on a Bayesian approach, intended to ...