Complete Machine Learning With R Studio – ML For 2026

R语言机器学习实战：2026全面指南

掌握R语言中的线性回归、决策树、XGBoost、SVM等机器学习模型，学习如何将商业问题转化为ML问题，适合数据科学初学者与从业者。

MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.11 GB | Duration: 12h 3m

Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language – R studio

What you’ll learn
Learn how to solve real life problem using the Machine learning techniques
Machine Learning models such as Linear Regression, Logistic Regression, KNN etc.
Advanced Machine Learning models such as Decision trees, XGBoost, Random Forest, SVM etc.
Understanding of basics of statistics and concepts of Machine Learning
How to do basic statistical operations and run ML models in R
Indepth knowledge of data collection and data preprocessing for Machine Learning problem
How to convert business problem into a Machine learning problem

Requirements
Students will need to install R and R studio software but we have a separate lecture to help you install the same

People pursuing a career in data science,Working Professionals beginning their Data journey,Statisticians needing more practical experience