Machine Learning (StatQuest)

Introductory Computer Science by StatQuest with Josh Starmer. 43 lectures, 8.6 hours. Covers: machine learning decision trees random forest logistic regression cross validation.

Lectures

1. A Gentle Introduction to Machine Learning · 13 min
2. Machine Learning Fundamentals: Cross Validation · 6 min
3. Machine Learning Fundamentals: The Confusion Matrix · 7 min
4. Machine Learning Fundamentals: Sensitivity and Specificity · 12 min
5. The Sensitivity, Specificity, Precision, Recall Sing-a-Long!!! · 1 min
6. Machine Learning Fundamentals: Bias and Variance · 7 min
7. Mutual Information, Clearly Explained!!! · 16 min
8. Odds and Log(Odds), Clearly Explained!!! · 12 min
9. Odds Ratios and Log(Odds Ratios), Clearly Explained!!! · 16 min
10. StatQuest: Logistic Regression · 9 min
11. Logistic Regression Details Pt1: Coefficients · 19 min
12. Logistic Regression Details Pt 2: Maximum Likelihood · 10 min
13. Logistic Regression Details Pt 3: R-squared and p-value · 15 min
14. Saturated Models and Deviance · 19 min
15. Logistic Regression in R, Clearly Explained!!!! · 17 min
16. Deviance Residuals · 6 min
17. ROC and AUC, Clearly Explained! · 16 min
18. ROC and AUC in R · 15 min
19. Regularization Part 1: Ridge (L2) Regression · 20 min
20. Regularization Part 2: Lasso (L1) Regression · 8 min
21. Ridge vs Lasso Regression, Visualized!!! · 9 min
22. Regularization Part 3: Elastic Net Regression · 5 min
23. Ridge, Lasso and Elastic-Net Regression in R · 18 min
24. StatQuest: Principal Component Analysis (PCA), Step-by-Step · 22 min
25. StatQuest: PCA main ideas in only 5 minutes!!! · 6 min
26. StatQuest: PCA - Practical Tips · 8 min
27. StatQuest: PCA in R · 9 min
28. StatQuest: PCA in Python · 12 min
29. StatQuest: Linear Discriminant Analysis (LDA) clearly explained. · 15 min
30. StatQuest: MDS and PCoA · 8 min
31. StatQuest: MDS and PCoA in R · 8 min
32. StatQuest: t-SNE, Clearly Explained · 12 min
33. StatQuest: Hierarchical Clustering · 11 min
34. StatQuest: K-means clustering · 9 min
35. Clustering with DBSCAN, Clearly Explained!!! · 10 min
36. StatQuest: K-nearest neighbors, Clearly Explained · 6 min
37. Naive Bayes, Clearly Explained!!! · 15 min
38. Gaussian Naive Bayes, Clearly Explained!!! · 9 min
39. Decision and Classification Trees, Clearly Explained!!! · 18 min
40. StatQuest: Decision Trees, Part 2 - Feature Selection and Missing Data · 5 min
41. Regression Trees, Clearly Explained!!! · 23 min
42. How to Prune Regression Trees, Clearly Explained!!! · 16 min
43. One-Hot, Label, Target and K-Fold Target Encoding, Clearly Explained!!! · 15 min

Quick explainers

• Machine Learning Explained: A Guide to ML, AI, & Deep Learning · 11 min
• All Machine Learning Concepts Explained in 22 Minutes · 22 min
• Every Machine Learning Model Explained in 15 minutes · 16 min
• Machine Learning | What Is Machine Learning? | Introduction To Machine Learning | 2026 | Simplilearn · 8 min
• AI Doesn't Know Anything. It Just Passes Tests. · 9 min
• All Machine Learning Models Clearly Explained! · 22 min

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