Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

CodeSignal

Navigating Data Simplification with PCA

via CodeSignal

Overview

Unlimited AI-Powered Learning
Level up your skills! Get 34% off Cosmo+ with code HOLIDAY24. Limited time only!
Grasp the essentials of dimensionality reduction and lay the groundwork for your journey by understanding and implementing Principal Component Analysis (PCA) using Python's Scikit-learn. This launchpad course provides a comprehensive introduction into why, how and when to use PCA for feature extraction and enhancing computational efficiency in high-dimensional data sets.

Syllabus

  • Lesson 1: Practical Guide to Principal Component Analysis (PCA) in Data Science
  • Lesson 2: Mastering PCA: Eigenvectors, Eigenvalues, and Covariance Matrix Explained
  • Lesson 3: Mastering Principal Component Analysis with Scikit-learn
  • Lesson 4: Mastering PCA: Interpretation and Application in Machine Learning

Reviews

Start your review of Navigating Data Simplification with PCA

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.