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- Principal Components Analysis (ML-01)

# Principal Components Analysis (ML-01)

The course delves into a critical aspect of machine learning – Principal Component Analysis (PCA).

## Overview

# What You Will Learn!

– Brief Overview of Machine Learnng – Linear Algebra – PCA: Fundamental Concepts – PCA: Theory – Examples and Applications## 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 6 hours
- Skill level All levels
- Language English
- Students 61
- Assessments Yes