Principal Component Analysis - What you need to know in machine learning

Principal Component Analysis - What you need to know in machine learning

Principal Component Analysis has been a topic widely used in developing machine learning models that demonstrate highest accuracy. In this presentation, I am going to discuss:

Principal Component Analysis has been a topic widely used in developing machine learning models that demonstrate highest accuracy. In this presentation, I am going to discuss:

  1. What is PCA.
  2. Feature Selection vs Feature Extraction.
  3. How PCA works.
  4. PCA implementation in python.
  5. Uses of PCA.

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