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# Machine Learning Techniques (ML-03) onwards

Delve deeper into Machine Learning. Handle advanced techniques land know which Machine Learning model to choose for each type of problem

## Overview

# What You Will Learn!

Part-3: Factor Analysis (FA) Part-4: Linear and Quadratic Discriminant Analysis (LDA and QDA) Part-5: K-Nearest Neighbors (KNN) Part-6: Resampling Methods Part-7: K-Means Clustering (KMC) Part-8: Classification and Regression Trees (CART) Part-9: Advanced Regression covering Splines, Non Linear Regression Part-10: Support Vector Machines (SVM)## Curriculum

## Instructor

Ramdas Menon has an M.Tech in chemical engineering from IIT-M, and was a Six Sigma Black Belt at GE and Pfizer before setting up Ekaagra. He holds two certifications from the ASQ - CSSBB and CRE - and has conducted programs on Statistical Methods including DOE at several corporates such as Huntsman, Pidilite, TVS Srichakra, Dr Reddys and MRF from 2008 onwards.

## Reviews

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### Course Features

- Lectures 1
- Quizzes 0
- Duration 60 hours
- Skill level All levels
- Language English
- Students 63
- Assessments Yes