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Connect the Dots: Factor Analysis

Video Description

Factor extraction using PCA in Excel, R and Python

About This Video

  • Understanding principal components
  • Eigen values and Eigen vectors
  • Eigenvalue decomposition
  • Using principal components for dimensionality reduction and exploratory factor analysis.
  • Implementing PCA in Excel, R and Python
  • Apply PCA to explain the returns of a technology stock like Apple
  • Find the principal components and use them to build a regression model

In Detail

Factor analysis helps to cut through the clutter when you have a lot of correlated variables to explain a single effect. This course will help you understand Factor analysis and it’s link to linear regression. See how Principal Components Analysis is a cookie cutter technique to solve factor extraction and how it relates to Machine learning.