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Machine Learning for Beginners

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Machine Learning for Beginners

Course Content

Lecture 1. Introduction To Machine Learning
Lecture 2. Classic Machine And Adaptive Machine
Lecture 3. Basics Of Training And Testing Phase
Lecture 4. Overfitting and Underfitting
Lecture 5. Feature Selection Techniques
Lecture 6. MultiClass Classification Approaches
Lecture 7. Basics Of Principal Component Analysis
Lecture 8. Principal Component Analysis(PCA)
Lecture 9. Principal Component Analysis
Lecture 10. Regression Analysis l Dependent And Independent Variables
Lecture 11. Linear Regression And Logistic Regression
Lecture 12. Confusion Matrix ll Accuracy,Error Rate,Precision,Recall
Lecture 13. Curse Of Dimensionality
Lecture 14. Managing Missing Features
Lecture 15. Managing Categorical Data
Lecture 16. Linear Regression
Lecture 17. Logistic Regression
Lecture 18. Polynomial Regression
Lecture 19. Ridge Regression
Lecture 20. Lasso Regression
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