Machine Learning Projects in R with Caret

By the end of this course, learners will be able to prepare datasets, detect and handle missing values, apply imputation strategies, perform correlation analysis, address data imbalance, and implement clustering using the caret package in R. Participants will also gain hands-on experience in reproducing research results, validating data quality, and streamlining machine learning workflows. This course is designed for students, professionals, and data enthusiasts who want to strengthen their applied machine learning skills in R. Unlike typical theory-driven courses, it emphasizes project-based…