Skip to content

Latest commit

 

History

History
19 lines (18 loc) · 1.11 KB

README.md

File metadata and controls

19 lines (18 loc) · 1.11 KB

DataSciencewithPractical

Learn Statistics, Probablity, Python from scratch, Machine Learning, DeepLearning and NLP

  1. Introduction Class - Mohamed Noordeen - 30-01-2022
  2. Introduction to Python - Mohamed Imran - Week 02/05 - 02/06
  3. Python statements, functions etc. - Mohamed Imran - Week 02/12 - 02/13
  4. Python contents iterators, generators, decorators etc. - Mohamed Imran - Week 02/19 - 02/20
  5. Numpy operations - Mohamed Imran - Week 02/6 - 02/27
  6. Linear Regression - Introduction to Linear Regression - Linear Algebra - Week 05/21
  7. Linear Regression - Derivative - Application of Derivative - Week 05/22
  8. Linear Regression - Gradient Descent - Week 05/28
  9. Linear Regression - Gradient Descent with python example - Week 05/29
  10. Linear Regression - BigMart Sales Hackathon Solving - Week 06/04
  11. Polynomial Regression - with exampls - Week 06/05
  12. Regularization - Ridge - Lasso - ElasticNet - Week - 06/12
  13. Logistic Regression - Week - 06/18
  14. Logistic Regression - HRAnalytics Practical - Week - 06/19
  15. Decision Tree Classification - Week - 06/25
  16. Decision Tree Regression - Week 06/26