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Robert Tibshirani, Trevor Hastie, Daniela Witten, and Gareth James, “Introduction to Statistical Learning”. It goes over basic ideas and real-world applications of R predictive modelling.
Garrett Grolemund and Hadley Wickham’s book “R for Data Science” Using R tools such as ggplot2 and caret, this book focuses on data processing, visualization, and predictive modelling.
Practical tasks covering regression, classification, and time series forecasting techniques are included in Data Camp’s “Predictive Analytics in R” course.

R users may practice predictive analysis with real-world datasets and community conversations by participating in Kaggle tournaments.

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