1. 24.6 Multiple Linear regression Krish Naik ML

    24.6 Multiple Linear regression Krish Naik ML

    7
  2. 24.2 Understanding Simple Linear regression Equations Krish Naik ML

    24.2 Understanding Simple Linear regression Equations Krish Naik ML

    8
  3. 24.3 Cost Function part 3 Krish Naik ML

    24.3 Cost Function part 3 Krish Naik ML

    6
  4. 24.5 - Convergence Algorithm Part02 Part 5 Krish Naik ML

    24.5 - Convergence Algorithm Part02 Part 5 Krish Naik ML

    8
  5. 24.4 - Convergence Algorithm part 4 Krish Naik ML

    24.4 - Convergence Algorithm part 4 Krish Naik ML

    8
  6. 24.1 Simple Linear Regression Introduction Krish Naik ML

    24.1 Simple Linear Regression Introduction Krish Naik ML

    6
  7. 25.2 Lasso & ElasticNet Krish Naik ML

    25.2 Lasso & ElasticNet Krish Naik ML

    4
  8. 24.11 Simple Linear Regression Practical Krish Naik ML

    24.11 Simple Linear Regression Practical Krish Naik ML

    2
  9. 24.9 Overfitting and Underfitting Krish Naik ML

    24.9 Overfitting and Underfitting Krish Naik ML

    4
  10. 24.15 Pipeline in Polynomial Krish Naik ML

    24.15 Pipeline in Polynomial Krish Naik ML

    4
  11. 25.1 Ridge Regression Krish Naik ML

    25.1 Ridge Regression Krish Naik ML

    2
  12. 25.8 Hyperparameter tuning Krish Naik ML

    25.8 Hyperparameter tuning Krish Naik ML

    2
  13. 24.12 Multiple Linear regression Krish Naik ML

    24.12 Multiple Linear regression Krish Naik ML

    2
  14. Why sample variance is divided by n-1 Krish Naik ML

    Why sample variance is divided by n-1 Krish Naik ML

    2
  15. 25.4 Cleaning the Dataset Krish Naik ML

    25.4 Cleaning the Dataset Krish Naik ML

    3
  16. 24.13 Polynomial Regression Intuition Krish Naik ML

    24.13 Polynomial Regression Intuition Krish Naik ML

    3
  17. 24.8 MSE, MAE, RMSE Krish Naik ML

    24.8 MSE, MAE, RMSE Krish Naik ML

    3
  18. 24.17 Handling Imbalanced Dataset Krish Naik ML

    24.17 Handling Imbalanced Dataset Krish Naik ML

    3
  19. 24.14 Polynomial Regression Implementation Krish Naik ML

    24.14 Polynomial Regression Implementation Krish Naik ML

    3
  20. 25.7 Model Training Krish Naik ML

    25.7 Model Training Krish Naik ML

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  21. 24.7 Performance Metrics Krish Naik ML

    24.7 Performance Metrics Krish Naik ML

    7
  22. 25.6 Feature Selection Krish Naik ML

    25.6 Feature Selection Krish Naik ML

    1
  23. 24.16 Handling Missing Values Krish Naik

    24.16 Handling Missing Values Krish Naik

    1
  24. 25.3 Types Of cross Validation Krish Naik ML

    25.3 Types Of cross Validation Krish Naik ML

    1