Machine learning : factor analysis online course

Course Outline

Chapter 01: Introduction

• Lesson 01: You, This Course, & Us!

Chapter 02: Factor Analysis & PCA

• Lesson 01: Factor Analysis & the Link to Regression
• Lesson 02: Factor Analysis & PCA

Chapter 03: Basic Statistics Required for PCA

• Lesson 01: Mean & Variance
• Lesson 02: Covariance & Covariance Matrices
• Lesson 03: Covariance vs Correlation

Chapter 04: Diving into Principal Components Analysis

• Lesson 01: The Intuition Behind Principal Components
• Lesson 02: Finding Principal Components
• Lesson 03: Understanding the Results of PCA – Eigen Values
• Lesson 04: Using Eigen Vectors to find Principal Components
• Lesson 05: When not to use PCA

Chapter 05: PCA in Excel

• Lesson 01: Setting up the data
• Lesson 02: Computing Correlation & Covariance Matrices
• Lesson 03: PCA using Excel & VBA
• Lesson 04: PCA & Regression

Chapter 06: PCA in R

• Lesson 01: Setting up the data
• Lesson 02: PCA and Regression using Eigen Decomposition
• Lesson 03: PCA in R using packages

Chapter 07: PCA in Python

• Lesson 01: PCA & Regression in Python

PACKAGE INCLUDES:

Length of Subscription: 12 Months Online On-Demand Access
Running Time: 1 hrs 45 min
Platform: Windows & MAC OS
Level: Beginner to Advanced
Project Files: Included

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