Parthiban Rajendran
Intro to Machine Learning
Intro to Machine Learning
04. Decision Trees
05. Choose your own
06. Datasets and Questions
07. Regressions
08. Outliers
09. Clustering
10. Feature Scaling
11. Text Learning
12. Feature Selection
13. PCA
14. Validation
15. Evaluation Metrics
Final Project
Part 1 Dipping the Toe
Part 2 Data Pre Processing
Part 3 Data Standardization
Parthiban Rajendran
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Intro to Machine Learning
Intro to Machine Learning
These are my consolidated course notes for Udacity's
Intro to Machine Learning
(Jun 2018)
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