Machine Learning Algorithms in R (With Demo) (English)

   Monday, December 22, 2025   

Starting a new Lecture Notes Series on Machine Learning Algorithms in R (With Demo)

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Channel Name: edureka!

So Let Us Start to This Journey of Learning 

Machine Learning Algorithms in R (With Demo) For Beginners By Lecture Notes together!

Lecture 1: Decision Tree Algorithm & Analysis | Machine Learning Algorithm | Data Science Training | Edureka

Lecture 2: Top 5 Algorithms used in Data Science | Data Science Tutorial | Data Mining Tutorial | Edureka

Lecture 3: Machine Learning Crash Course-2 Hours | Learn Machine Learning | Machine Learning Tutorial | Edureka

Lecture 4: K-Means Clustering Algorithm - Cluster Analysis | Machine Learning Algorithm | Data Science |Edureka

Lecture 5: Linear Regression Algorithm | Linear Regression in R | Data Science Training | Edureka

Lecture 6: Logistic Regression in R | Machine Learning Algorithms | Data Science Training | Edureka

Lecture 7: Linear Regression vs Logistic Regression | Data Science Training | Edureka

Lecture 8: Sentiment Analysis in R | Sentiment Analysis of Twitter Data | Data Science Training | Edureka

Lecture 9: Time Series In R | Time Series Forecasting | Time Series Analysis | Data Science Training | Edureka

Lecture 10: Support Vector Machine Tutorial Using R | SVM Algorithm Explained | Data Science Training | Edureka

Lecture 11: Naive Bayes Classifier Tutorial | Naive Bayes Classifier Example | Naive Bayes in R | Edureka

Lecture 12: Machine Learning Algorithms | Machine Learning Tutorial | Data Science Training | Edureka

Lecture 13: Machine Learning with R | Machine Learning Algorithms | Data Science Training | Edureka

Lecture 14: Text Mining In R | Natural Language Processing | Data Science Certification Training | Edureka

Lecture 15: KNN Algorithm Using R | KNN Algorithm Example | Data Science Training | Edureka

Lecture 16: Random Forest Tutorial | Random Forest in R | Machine Learning | Data Science Training | Edureka

Lecture 17: Data Science vs Machine Learning – What’s The Difference? | Data Science Course | Edureka

Lecture 18: Probabilistic Graphical Models (PGMs) In Python | Graphical Models Tutorial | Edureka

Lecture 19: Machine Learning Basics | What Is Machine Learning? | Introduction To Machine Learning | Edureka

Lecture 20: Machine Learning Projects | Machine Learning Project Ideas For Beginners | Edureka

Lecture 21: E & ICT Academy NIT Warangal Partners with edureka! | Post-Graduate Program in AI & Machine Learning

Lecture 22: Artificial Intelligence Full Course | Artificial Intelligence Tutorial for Beginners | Edureka

Lecture 23: Apriori Algorithm Explained | Association Rule Mining | Finding Frequent Itemset | Edureka

Lecture 24: Boosting Machine Learning Tutorial | Adaptive Boosting, Gradient Boosting, XGBoost | Edureka

Lecture 25: Data Science and Machine Learning for Non Programmers | Data Science for Beginners | Edureka

Lecture 26: Top Machine Learning Tools and Frameworks for Beginners | Machine Learning Tutorial | Edureka

Lecture 27: Best Python Libraries For Data Science & Machine Learning | Data Science Python Libraries | Edureka

Lecture 28: Machine Learning Full Course - Learn Machine Learning 10 Hours | Machine Learning Tutorial | Edureka

Lecture 29: Top 10 Books for Machine Learning in 2021 | Best ML Books for Beginners And Advanced | Edureka

Lecture 30: Machine Learning With R Full Course | Machine Learning Tutorial For Beginners | Edureka

Lecture 31: Machine Learning Roadmap | How to become a Machine Learning Engineer | ML Engineer | Edureka