Principal Component Analysis (PCA) and Factor Analysis | Business Analytics & Intelligence Online Course by Udemy

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Analytics / Machine Learning / Dimensionality Reduction: PCA & Factor Analysis using SAS and R program

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Principal Component Analysis (PCA) and Factor Analysis

The course explains one of the important aspect of machine learning – Principal component analysis and factor analysis in a very easy to understand manner. It explains theory as well as demonstrates how to use SAS and R for the purpose. The course provides entire course content available to download in PDF format, data set and code files. The detail course content is as follows. Intuitive Understanding of PCA 2D Casewhat is the variance in the data in different dimensions?what is principal component?Formal definition of PCsUnderstand the formal definition of PCAProperties of Principal ComponentsUnderstanding principal component analysis (PCA) definition using a 3D imageProperties of Principal ComponentsSummarize PCA conceptsUnderstand why first eigen value is bigger than second, second is bigger than third and so onData Treatment for conducting PCA How to treat ordinal variables?How to treat numeric variables?Conduct PCA using SAS: UnderstandCorrelation MatrixEigen value tableScree plotHow many pricipal components one should keep?How is principal components getting derived?Conduct PCA using RIntroduction to Factor AnalysisIntroduction to factor analysisFactor analysis vs PCA side by sideFactor Analysis Using RFactor Analysis Using SASTheory for using PCA for Variable SelectionDemo of using PCA for Variable Selection

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