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6. Getting started with decision trees
7. Convolutional Neural Networks
8. Support Vector Machines
9. Fundamentals of Regression Analysis
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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8. Introduction to KNN
9. A comprehensive guide to data exploration
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