Session 25 - Ensemble Learning & Random Forests, January 26,2019

1 Introductory Session - Introduction to Machine Learning, October 7, 2018

2 Session 1 - Basics of Python for Machine Learning, October 13, 2018

3 Session 2 -Basics of Python for Machine Learning(continues) ,October 14 ,2018

4 Session 3 -Basics of Python for Machine Learning(continues) ,October 27 ,2018

5 Session 4 -Basics of Python for Machine Learning(continues) ,October 28 ,2018

6 Session 5 -Basics of Python for Machine Learning(continues) ,November 3 ,2018

7 Session 6 -Python,NumPy,Pandas ,November 4 ,2018

8 Session 7 -Python-NumPy, November 10 ,2018

9 Session 8 -Python-Pandas, November 17 ,2018

10 Session 9 -Lambda Operator, November 18 ,2018

11 Session 10 -Linear Algebra, December 1 ,2018

12 Session 11 -End-to-End Machine Learning Project, December 2 ,2018

13 Session 12 -End-to-End Machine Learning Project, December 8 ,2018

14 Session 13 -End-to-End Machine Learning Project, December 9 ,2018

15 Session 14 - Machine Learning Project, December 15 ,2018

16 Session 15 - Machine Learning Classification, December 16 ,2018

17 Session 16 - Machine Learning Classification, December 22 ,2018

18 Session 17 - Training Models, December 23 ,2018

19 Session 18 - Training Models, December 29 ,2018

20 Session 19 - Training Models, January 5 ,2019

21 Session 20 - Training Models, January 6 ,2019

22 Session 21- Machine Learning SVM, January 12 ,2019

23 Session 22- Machine Learning SVM, January 13 ,2019

24 Session 23- Decision Trees, January 19 ,2019

25 Session 24- Ensemble Learning, January 20 ,2019

26 Session 25 - Ensemble Learning & Random Forests, January 26,2019

27 Session 26 - Ensemble Learning, January 27, 2019

28 Session 27- Dimensionality Reduction

29 Session 28- Dimensionality Reduction

30 Session 29- Machine Learning Unsupervised