Course

Principal Component Analysis (PCA)

This course will enable learners to understand the necessity and areas of applications of unsupervised machine learning algorithms like dimensionality reduction and principal component analysis (PCA).

3 Lessons
Outcomes

By the end of the course, learners will be able to:

  • Segregate important information from data without using all variables (feature extraction)
  • Appreciate the importance of dimensionality reduction through PCA
 Level: 02
Duration: 3.5 Hours
Pre-requisites:  Refer Topics on Mathematics
What’s next: TBD