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Understanding and Applying Factor Analysis and PCA

Factor Analysis and PCA are key techniques for dimensionality reduction, and latent factor identification. In this course, Understanding and Applying Factor Analysis and PCA, you'll learn how to understand and apply factor analysis and PCA. First, you'll explore how to cut through the clutter with factor analysis. Next, you'll discover how to carry out factor analysis using PCA, a powerful ML-based approach. Then, you'll learn how to perform eigenvalue decomposition, a cookie-cutter linear algebra procedure. Finally, you'll learn how to implement PCA to explain Google's stock returns in Excel and VBA, R, and Python. By the end of this course, you'll have a strong applied knowledge of factor analysis and PCA that will help you solve complex business problems.
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Length 2.6 hours
Starts On Demand (Start anytime)
Cost $29/month (Access to entire library- free trial available)
From Pluralsight
Instructor Vitthal Srinivasan
Download Videos On Windows, MacOS, iOS, and Android Pluralsight app
Language English
Subjects Data Science Programming IT & Networking
Tags Data Science Data Analysis Machine Learning Data Professional

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Rating Not enough ratings
Length 2.6 hours
Starts On Demand (Start anytime)
Cost $29/month (Access to entire library- free trial available)
From Pluralsight
Instructor Vitthal Srinivasan
Download Videos On Windows, MacOS, iOS, and Android Pluralsight app
Language English
Subjects Data Science Programming IT & Networking
Tags Data Science Data Analysis Machine Learning Data Professional

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