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NPTEL

Predictive Modelling with Applications: Supervised and Unsupervised Learning

NPTEL via Swayam

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Overview

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ABOUT THE COURSE:The course will introduce the core concepts of predictive modelling and its applications to data analysis. It will cover both supervised and unsupervised learning. In addition to the modelling techniques, the course will include model evaluation and model diagnostics as well. The course pedagogy will involve concepts, methods and applications using real-life examples and illustrations using R. Furthermore, the course will also focus on interpretation of results. The objective of the course is to equip participants with the concepts and methods of modelling techniques which will consequently lead to improved decision making.INTENDED AUDIENCE: 4 th Year UGM.ScMTechPhDPREREQUISITES: BE/BSc Engg/BTech/BSc/BS-MSINDUSTRY SUPPORT: All consumable, service industry

Syllabus

Week 1: PCA & FA
Week 2:Cluster Analysis
Week 3:Simple linear Regression, Multiple Regression
Week 4:Outlier detection, Normality
Week 5:Multicollinearity, Heteroscedasticity, Autocorrelation
Week 6:Polynomial Regression, Interactions, Mediators,Confounders, Model assessment
Week 7:LASSO, RDD
Week 8:Logistic Regression

Taught by

Prof. Sayantee Jana

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