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1 Introduction To Machine Learning
2 Session 2 - End to End Machine Learning Project - Dec 10, 2017
3 Session 3 - End to End Machine Learning Project - Dec 17, 2017
4 Session 4 - End to End Machine Learning Project - Dec 23, 2017
5 Session 5 - End to End Machine Learning Project - Dec 24, 2017
6 Session 6 - End to End Machine Learning Project - Jan 06, 2018
7 Session 7 - Machine Learning Classification - Jan 07, 2018
8 Session 8 - Machine Learning Classification - Jan 13, 2018
9 Session 9 - Machine Learning Classification - Jan 14, 2018
10 Session 10 - Overview of Linear Algebra - Jan 20, 2018
11 Session 11 - Linear Regression: Gradient Descent - Jan 21, 2018
12 Session 12 - Stochastic Gradient Descent - Jan 27, 2018
13 Session 13 - Polynomial Regression, Ridge Lasso and Elastic Net - Jan 28, 2018
14 Session 14 - Logistic Regression - Feb 3, 2018
15 Session 15 - Support Vector Machines - Feb 4, 2018
16 Session 16 - Support Vector Machines (Continue) & Decision Trees - Feb 17, 2018
17 Session 17 - Decision Trees (Continue) & Ensemble Learning - Feb 18, 2018
18 Session 18 - Ensemble Learning & Random Forest - Feb 24, 2018
19 Session 18 - Ensemble Learning & Random Forest - Feb 24, 2018
20 Session 19 - Adaboost - February 25, 2018
21 Session 20 - Ensemble Learning & Dimensionality Reduction - Mar 03, 2018
22 Session 21 - Dimensionality Reduction (Continue) - Mar 04, 2018
23 Session 22 - Project Bike, Naive Bayes, XGBoost - Mar 10, 2018
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