Overview

A or B? Win or lose? In or out? Classification is all about finding the right answer with the data you’ve got, and this course will help you get there.  

Throughout this course, you will gain a better understanding of what classification is and the types of problems we typically solve. Then, you will dive into one particular technique for classifying data: logistic regression. You will learn how the algorithm works and then apply it using the R and Python programming languages. Along the way, you will gain an understanding of when to use logistic regression, what a good outcome looks like, and what statistical tools are available to ensure that you’re getting the most out of your model. 

By the end of this course, you’ll have a thorough understanding of logistic regression, and you’ll be able to build, train, and test logistic regression models.

The necessary resources for this course are in the "Resources" section of Video 1.1. You can also access them through this direct link - https://github.com/ec-council-learning/Applied-Logistic-Regression