Machine Learning for Engineering & Science Applications | IIT Madras - #78 Bagging | Machine Learning for Engineering & Science Applications

Welcome to 'Machine Learning for Engineering & Science Applications' course ! This lecture discusses bagging, which is an ensemble learning technique that can be used to reduce the variance of a model. Bagging works by training multiple models on different bootstrap samples of the training data. The predictions of the individual models are then combined to produce a final prediction. 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 #Overfitting #BootstrapSampling #HighVarianceModel