1. Zakir Naik OPENLY ADMITS He's RUNNING From Sam Shamoun... And Why He's SO TERRIFIED To Debate Him

    Zakir Naik OPENLY ADMITS He's RUNNING From Sam Shamoun... And Why He's SO TERRIFIED To Debate Him

    2
    0
    56
  2. 26.7 End To End ML Project Implementation Krish Naik ML

    26.7 End To End ML Project Implementation Krish Naik ML

    22
  3. 27.9 Logistic Imbalanced Dataset Krish Naik ML

    27.9 Logistic Imbalanced Dataset Krish Naik ML

    15
  4. 27.1 Can Linear Regression Solve Classifier Problem Krish Naik ML

    27.1 Can Linear Regression Solve Classifier Problem Krish Naik ML

    21
  5. 26.1 Basic Simple Linear Regression Project Krish Naik ML

    26.1 Basic Simple Linear Regression Project Krish Naik ML

    19
  6. 27.2 Logistic Regression Indepth Math Intuition Krish Naik ML

    27.2 Logistic Regression Indepth Math Intuition Krish Naik ML

    20
  7. 27.3 Performance Metrics Krish Naik ML

    27.3 Performance Metrics Krish Naik ML

    20
  8. 26.2 Multiple Linear Regression Projects With Assumptions Krish Naik ML

    26.2 Multiple Linear Regression Projects With Assumptions Krish Naik ML

    20
  9. 27.5 Logistic Regression Implementation Krish Naik ML

    27.5 Logistic Regression Implementation Krish Naik ML

    22
  10. 27.4 Logistic Regression OVR Krish Naik ML

    27.4 Logistic Regression OVR Krish Naik ML

    15
  11. 27.10 Logistic Regression ROC Krish Naik ML

    27.10 Logistic Regression ROC Krish Naik ML

    13
  12. 27.6 Grid Search Hyper Parameter Krish Naik ML

    27.6 Grid Search Hyper Parameter Krish Naik ML

    13
  13. 26.8 Project Deployment In AWS Krish Naik ML

    26.8 Project Deployment In AWS Krish Naik ML

    12
  14. 27.7 Randomised Search CV Krish Naik ML

    27.7 Randomised Search CV Krish Naik ML

    14
  15. 26.3 Basic Regression Project From Scratch-EDA And Feature Engineering Krish Naik ML

    26.3 Basic Regression Project From Scratch-EDA And Feature Engineering Krish Naik ML

    14
  16. 26.5 Model Training With Ridge and Elastic net With Cross Validation Krish Naik ML

    26.5 Model Training With Ridge and Elastic net With Cross Validation Krish Naik ML

    12
  17. 26.6 Model Pickling In ML Project Krish Naik ML

    26.6 Model Pickling In ML Project Krish Naik ML

    12
  18. 28.3 SVM Maths Intuition Krish Naik ML

    28.3 SVM Maths Intuition Krish Naik ML

    22
  19. 28.2 SoftMargin and Hard Margin Krish Naik ML

    28.2 SoftMargin and Hard Margin Krish Naik ML

    16
  20. 28.1 Introduction to support vector Machine Krish Naik ML

    28.1 Introduction to support vector Machine Krish Naik ML

    16
  21. 28.5 Support Vector Regression Krish Naik ML

    28.5 Support Vector Regression Krish Naik ML

    23