StatQuest: Decision Trees, Part 2 - Feature Selection and Missing Data

Lecture 40 of 43 in Machine Learning (StatQuest) by StatQuest with Josh Starmer. 5 min. Watch on YouTube

Course: Machine Learning (StatQuest) (Computer Science). Covers: machine learning decision trees random forest logistic regression cross validation.

All lectures in Machine Learning (StatQuest)

  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