Logistic regression Logistic regression is a supervised learning method for classification problems. Given a data frame data containing the independent variables x and the dependent variable y, …

Jul 23, 2025 · This Machine Learning with R Programming tutorial aims to help learn both supervised and unsupervised machine learning algorithms with the help of well-explained and …

May 29, 2023 · Machine Learning with R, Fourth Edition, takes you through classification methods like nearest neighbor and Naive Bayes and regression modeling, from simple linear to logistic. …

Feb 1, 2020 · Instead, this book is meant to help R users learn to use the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, lime, …

Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework. This course provides an intro to clustering and …

This course is designed for students, data enthusiasts, and professionals seeking to master machine learning using R. Learners will benefit from hands-on practice with R programming, …

This book introduces machine learning algorithms and explains the underlying concepts without using higher mathematics concepts like matrix algebra or calculus. Each chapter provides …

Take the next step in your evolution as a data scientist by learn the fundamentals of machine learning in R in this interactive, hands-on course.

Feb 9, 2025 · These 7 R packages are among the best for machine learning, deep learning, and AutoML. Whether you're working on small datasets or large-scale projects, they offer efficient …