Online FDP - Machine Learning Approaches for Engineering Applications 2022

The FDP on “Machine Learning approaches for Engineering Applications” focus on the fundamental knowledge on Machine Learning techniques. FDP will help to upgrade the expertise and capabilities of the faculty members and research scholars who wish to do research in the field of ML. FDP provide platform to the participants to learn various data visualization and predictive modeling techniques in R Tool. Hands on sessions were planned to foster the implementations in regard to the research in the domain of Machine Learning.

The FDP will comprise lectures and handson sessions on the following topics:
 Introduction to R and Data Visualization
 Hypothesis Testing
 Predictive Modeling
 Variable Selection and Partial Least Squares
 Logistic Regression
 Support Vector Machines
 Decision Trees
 Cluster Analysis
 Handson Sessions using R Tool

24/12/2022

NO REGISTRATION FEES