Introduction to Linear Regression Analysis

From basics to advanced level training and practices in doing linear regression analysis using R, SPSS, SAS, Python

Linear Regression in Python| Simple Regression, Multiple Regression, Ridge Regression, Lasso and subset selection also

Covers the use of dynamic and interactive computer graphics in linear regression analysis, focusing on analytical graphics. Features new techniques like plot rotation. The authors have composed their own regression code, using Xlisp-Stat language called R-code, which is a nearly complete system for linear regression analysis and can be utilized as the main computer program in a linear regression course. The accompanying disks, for both Macintosh and Windows computers, contain the R-code and Xlisp-Stat.

Learn Complete Hands-On Regression Analysis in R for Machine Learning, Statistical Analysis, Data Science, Deep Learning

Learn the concepts and practical side of using the Bayesian approach to estimate likely event outcomes.

Linear Regression and Logistic Regression for beginners. Understand the difference between Regression & Classification.