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8. Support Vector Machines
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10. Linear Programming for data science professionals
11. Introduction to Pytorch for deep learning
12. Naivebayes from scratch
13. Ensemble Learning Techniques
14. KNN in Python and R
15. Dimensionality Reduction in Machine Learning
16. Getting started with scikit-learn
17. Hypothesis testing for data science and analytics
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3. Types of Regression
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8. Introduction to KNN
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