Skillshare - Lessons NewClasses

Applied Data Science - 5 : Modeling and Prediction

Kumaran Ponnambalam, Dedicated to Data Science Education

Play Speed
  • 0.5x
  • 1x (Normal)
  • 1.25x
  • 1.5x
  • 2x
20 Lessons (4h 40m)
    • 1. About Applied Data Science Series

      8:12
    • 2. Types of Analytics

      12:08
    • 3. Types of Learning

      17:16
    • 4. Analyzing Results and Errors

      13:46
    • 5. Linear Regression

      19:00
    • 6. R Use Case : Linear Regression

      18:01
    • 7. Decision Trees

      10:42
    • 8. R Use Case : Decision Trees

      19:36
    • 9. Naive Bayes Classifier

      19:21
    • 10. R Use Case : Naive Bayes

      19:12
    • 11. Random Forests

      10:31
    • 12. R Use Case : Random Forests

      18:47
    • 13. K Means Clustering

      11:53
    • 14. R Use Case : K Means Clustering

      16:24
    • 15. Association Rules Mining

      11:30
    • 16. R Use Case : Association Rules Mining

      13:11
    • 17. ANN and SVM

      4:35
    • 18. Bagging and Boosting

      11:27
    • 19. Dimensionality Reduction

      7:28
    • 20. R Use Case : Advanced Methods

      17:18