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Complete Machine Learning In 6 Hours| Krish Naik
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Complete Machine Learning In 6 Hours| Krish Naik
9/15/2026
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Summary
Transcript
Chapters
Summary
Transcript
Chapters
Summary
Chapters
1
Machine Learning Interview Roadmap
0:06
2
AI, Machine Learning, and Data Science
1:38
3
Supervised and Unsupervised Learning
7:42
4
Linear Regression Fundamentals
18:29
5
Cost Function and Gradient Descent
25:05
6
R-Squared and Adjusted R-Squared
55:41
7
Ridge and Lasso Regularization
1:07:30
8
Overfitting, Bias, and Variance
1:08:30
9
Linear Regression Assumptions
1:30:00
10
Logistic Regression and Sigmoid Functions
1:32:58
11
Confusion Matrix and Classification Metrics
1:58:46
12
Practical Model Training and Tuning
2:13:26
13
Naive Bayes and KNN
2:53:57
14
Decision Trees and Ensemble Methods
3:19:17
15
Boosting, Clustering, and SVM
4:29:56
