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HarvardX course: Machine Learning
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1. Basics of Evaluating Machine Learning Algorithms
10. Caret Package
12. Ensembles
13. Recommendation System
14. Regularization
2. Conditional Probabilities Review
3. Linear Regression
4. Smoothing
5. Matrices
6. KNN
7. K-fold Cross Validation
8. Generative Models
9. Trees Motivation
README.md
my_notes.txt

README.md

Harvard University - Data Science: Machine Learning

This is a repo containing my progress in 'Data Science: Machine Learning' of HarvardX.

The course is the 8th course of the HarvardX's Data Science Professional Certificate.

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