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Course Curriculum

Session 1 Basic Statistics
ML Session 1 Basic_Statistics 00:00:00
Session 2 Data Exploration Validation Cleaning
ML Session2 Data_Exploration_Validation_Cleaning 00:00:00
Session 3 Projects intiation
ML Session3 Projects_intiation 00:00:00
Session 4 Regression Analysis
ML Session4 Regression_Analysis 00:00:00
Session 5 Logistic Regression
ML Session5 Logistic_Regression 00:00:00
Session 6 Project Phase2 Simple MLModel
ML Session6 Project_Phase2_Simple_MLModel 00:00:00
Session 7 Decision trees
ML Session7 Decision_trees 00:00:00
Session 8 Model Selection Cross validation
ML Session8 Model_Selection_Cross_validation 00:00:00
Session 9 Feature Engineering
ML Session9 Feature_Engineering 00:00:00
Session 10 Project Phase3
ML Session10 Project_Phase3 00:00:00
Session 11 Random Forest
ML Session11 Random_Forest 00:00:00
Session 12 Boosting
ML Session12 Boosting 00:00:00
Session 13 Project Phase4
ML Session13 Project_Phase4 00:00:00
Session 14 NLP Data Preprocessing
ML Session14 NLP_Data_Preprocessing 00:00:00
Session 15 Sentment Analysis
ML Session15 Sentment_Analysis 00:00:00
Session 16 Testing Of Hypothesis
ML Session16 Testing_Of_Hypothesis 00:00:00
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