Ad

Learn the basics of Data Science in the crash course created by Marco Peixeiro, where you will learn about the theory and code behind the most common algorithms used in data science.

Datasets:

Course Contents

  • ⌨️ (00:00) Introduction
  • ⌨️ (03:06) Setup
  • ⌨️ (04:29) Linear regression (theory)
  • ⌨️ (09:29) Linear regression (Python)
  • ⌨️ (20:59) Classification (theory)
  • ⌨️ (30:16) Classification (Python)
  • ⌨️ (49:30) Resampling & regularization (theory)
  • ⌨️ (56:09) Resampling and regularization (Python)
  • ⌨️ (1:05:17) Decision trees (theory)
  • ⌨️ (1:13:12) Decision trees (Python)
  • ⌨️ (1:24:50) SVM (theory)
  • ⌨️ (1:28:17) SVM (Python)
  • ⌨️ (1:58:24) Unsupervised learning (theory)
  • ⌨️ (2:06:54) Unsupervised learning (Python)
  • ⌨️ (2:20:55) Conclusion
tt ads

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.