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.

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...

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 ...

Clemens Biller, Adaptive Bayesian Regression Splines in Semiparametric Generalized Linear Models, Journal of Computational and Graphical Statistics, Vol. 9, No. 1 (Mar., 2000), pp. 122-140 ...

The use of linear mixed models (LMMs) in genome-wide association studies (GWAS) is now widely accepted 1 because LMMs have been shown to be capable of correcting for several forms of confounding ...