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    27.5 Logistic Regression Implementation Krish Naik ML
    13:28
    27.3 Performance Metrics Krish Naik ML
    23:26
    27.2 Logistic Regression Indepth Math Intuition Krish Naik ML
    18:30
    26.7 End To End ML Project Implementation Krish Naik ML
    32:02
    26.1 Basic Simple Linear Regression Project Krish Naik ML
    41:23
    27.1 Can Linear Regression Solve Classifier Problem Krish Naik ML
    11:46
    27.6 Grid Search Hyper Parameter Krish Naik ML
    12:31
    27.10 Logistic Regression ROC Krish Naik ML
    18:40
    27.9 Logistic Imbalanced Dataset Krish Naik ML
    9:47
    27.8 Logistic OVR Krish Naik ML
    4:18
    27.7 Randomised Search CV Krish Naik ML
    4:47
    27.4 Logistic Regression OVR Krish Naik ML
    10:05
    26.8 Project Deployment In AWS Krish Naik ML
    12:57
    26.6 Model Pickling In ML Project Krish Naik ML
    3:05
    XSS by spin the hack
    1:51:12
    24.7 Performance Metrics Krish Naik ML
    16:45
    24.10 Linear Regression with OLS Krish Naik ML
    21:39
    24.11 Simple Linear Regression Practical Krish Naik ML
    46:27
    25.7 Model Training Krish Naik ML
    8:43
    24.15 Pipeline in Polynomial Krish Naik ML
    5:20
    24.8 MSE, MAE, RMSE Krish Naik ML
    22:33
    24.13 Polynomial Regression Intuition Krish Naik ML
    11:27