Description:
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.
Hands-on R: Implementing Tree Regression and Random Forest with Simulated Data
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#Computer Science
#Machine Learning
#Random Forests
#Data Science
#Data Analysis
#Mathematics
#Statistics & Probability
#Statistical Modeling
#Decision Trees