Project 6

Learning Objectives

Understand and gain hands on experience of the working of a dimensionality reduction method – Principal Component Analysis

Description

1. Coding of steps involved in finding the principal components of a dataset will be shown. The following concepts will be covered
1. Normalization
2. Covariance matrix estimation
3. Eigen value and vectors
4. Matrix Projection

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