Machine Learning for Engineering & Science Applications | IIT Madras - #79 Random Forest | Machine Learning for Engineering & Science Applications

Welcome to 'Machine Learning for Engineering & Science Applications' course ! This lecture discusses bagging. Bagging is a technique that involves creating multiple datasets from the original training data by sampling with replacement, training a decision tree on each dataset, and then combining the results. This helps to reduce the variance and prevent overfitting. Out-of-bag error estimation is a method for estimating the prediction error of a bagged model. NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106198 #Bagging #DecisionTrees #BootstrapAggregating #Outofbag #EnsembleMethod