Advanced Machine Learning with R: Apply & Predict

By the end of this course, learners will be able to apply clustering algorithms, implement Naive Bayes classifiers, analyze text with supervised learning models, reduce dimensionality with PCA, and design foundational neural networks. They will also evaluate time series patterns, forecast using ARIMA and Prophet, optimize predictive performance with gradient boosting, and uncover associations through market basket analysis. This course equips learners with advanced machine learning techniques using R, combining theoretical knowledge with hands-on implementation. Unlike traditional courses, it…