Classification fundamentals in R — code included Our little journey to machine learning with R continues! Today’s topic is logistic regression — as an introduction to machine learning classification tasks. We’ll cover data preparation, modeling, and evaluation of the well-known Titanic dataset. If you want to read the series from the beginning, here are the links to the previous articles: Machine Learning with R: Linear Regression This article is structured as follows: Intro to logistic regression Dataset introduction and loading Data preparation Model training and evaluation Conclusion You can download the source code here. That’s it for the introduction section — we have many things to cover, so let’s jump right to […]

The post Machine Learning With R: Logistic Regression appeared first on Better Data Science.