Applied Data Science - 5 : Modeling and Prediction | Kumaran Ponnambalam | Skillshare

Applied Data Science - 5 : Modeling and Prediction

Kumaran Ponnambalam, Dedicated to Data Science Education

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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
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In October 2018, we updated our review system to improve the way we collect feedback. Below are the reviews written before that update. You are welcome to edit your old review into the new system!

3 of 3 students recommend this class
Good class for beginners who are comfortable with R. It's easy to follow along the examples and play around with the data.