Linear And Logistic Regression

The primary focus here is on log-linear models for contingency tables, but in this second edition, greater emphasis has been placed on logistic regression. The book explores topics such as logistic discrimination and generalised linear models, and builds upon the relationships between these basic models for continuous data and the analogous log-linear and logistic regression models for discrete data.

Complete Regression Analysis with Python

Learn statistical techniques that will give you the edge using GRETL Software

Learn the theory and math behind Linear and Logistic regression and also learn to code them from scratch

Learn how to analyze and visualize data using Import Libraries, Decision Tree Classifiers, and Logistic Regression

Perform and Analyze the Results of Binary Logistic Regression Analysis using Minitab 19

Enter the world of Artificial Intelligence! Develop Python coding practices while exploring Supervised Machine Learning

A friendly, fun guide to making accurate predictions and revealing relationships in your data using linear and logistic regression.