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Practical Guide to Machine Learning in R by Sisya MB is a document available to read on EtoBox.

What is Practical Guide to Machine Learning in R about?

This book provides a practical guide to machine learning techniques in R for exploring large multivariate datasets and building predictive models. It covers unsupervised learning methods like clustering and principal component analysis, regression analysis, classification techniques like logistic regression and support vector machines, advanced methods like decision trees and ensemble methods, and model selection methods. The goal is to present popular machine learning methods for discovering knowledge from

Author

Sisya MB

Language

EN