Machine Learning with caret in R

The Korshub Take

This intermediate course provides a comprehensive introduction to R's caret package, a unified framework for training and evaluating machine learning models. It covers core concepts required to preprocess data, tune hyperparameters, and optimize predictive performance.

Who It's For

Data analysts and R practitioners seeking a standardized, consistent interface for building and tuning machine learning models in R.

Key Takeaways

• Unified Modeling Interface: Leverage caret to access hundreds of machine learning algorithms with a single consistent workflow.
• Data Preprocessing: Learn data transformation and preprocessing techniques to improve model accuracy and handling of missing data.
• Model Evaluation & Tuning: Perform cross-validation and hyperparameter optimization to select top-performing predictive models.