Hands-on R: Implementing Tree Regression and Random Forest with Simulated Data

Implement decision tree regression and random forest algorithms using simulated data in R. Learn how to generate synthetic datasets, construct decision trees, and build random forest models through hands-on coding exercises. Gain practical experience in applying these powerful machine learning techniques to regression problems while working with R programming language.