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Prerequisite to learn ML
Total duration - 00:30:18
Prerequisite to learn ML
00:30:18 - Hour
Prerequisite_to_learn_ML
00:30:18 Hour
What is Classification
Total duration - 00:42:19
What is Classification
00:42:19 - Hour
Classification_Technique
00:42:19 Hour
Logistic Regression
Total duration - 00:30:16
Logistic Regression
00:30:16 - Hour
Introduction_to_Logistic_Regression
00:30:16 Hour
Step to crack classification problem
Total duration - 00:34:04
Step to crack classification problem
00:34:04 - Hour
Step_to_crack_classification_problem
00:34:04 Hour
Confusion Matrix
Total duration - 00:31:19
Confusion Matrix
00:31:19 - Hour
Confusion_Matrix
00:31:19 Hour
Sampling Data
Total duration - 00:29:56
Sampling Data
00:29:56 - Hour
Sampling_Data
00:29:56 Hour
Create Dummy Variables
Total duration - 00:37:01
Create Dummy Variables
00:37:01 - Hour
Create_Dummy_Variables_1
00:31:41 Hour
Split_data_2
00:05:20 Hour
Correlation
Total duration - 00:18:18
Correlation
00:18:18 - Hour
Correlation
00:18:18 Hour
Collinearity Check
Total duration - 00:18:17
Collinearity Check
00:18:17 - Hour
Collinearity_Check
00:18:17 Hour
Logistic Regression Model
Total duration - 00:37:25
Logistic Regression Model
00:37:25 - Hour
Logistic_Regression_Model
00:37:25 Hour
Odds Ratio Estimates
Total duration - 00:10:42
Odds Ratio Estimates
00:10:42 - Hour
Odds_Ratio_Estimates
00:10:42 Hour
Scoring the data
Total duration - 00:34:56
Scoring the data 1
00:18:19 - Hour
Scoring_Manually_1
00:18:19 Hour
Scoring the data 2
00:16:37 - Hour
Scoring_using_SAS_2
00:16:37 Hour
Classifying data
Total duration - 00:33:02
Classifying data
00:33:02 - Hour
Classifying_data_by_Cutoff
00:33:02 Hour
Decile
Total duration - 00:34:56
Decile
00:34:56 - Hour
Decile
00:34:56 Hour
ROC
Total duration - 00:18:37
ROC
00:18:37 - Hour
ROC
00:18:37 Hour
Project Implementation tips
Total duration - 00:27:44
Project Implementation tips
00:27:44 - Hour
Project_Implementation_Tips
00:27:44 Hour