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Machine Learning – Dimensionality Reduction- Big Data University

Big Data University
0-6 MonthOnline
BeginnerContact Institute
OnlineBusiness Analytics
Online Self Paced396
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DescriptionProgram StructureEligibilityContact

In this course you will learn how dimensionality reduction is used to reduce the number of features in a datasets. You will also learn Principal Components Analysis (PCA) and Exploratory Factor Analysis (EFA).

  • Module 1 – Data Series
  • Module 2 – Data Refinement
  • Module 3 – Exploring Data

Duration: 2 Hours

Mode: Self-Paced

Course Level: Beginner

Fees: Free

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