Data Science and Maching Learning Notes

A set of self study notes in my own view point/style for anyone to upskill themselves in data science and machine learning so that they can land in industry roles such as data scientist, machine learning engineer or similar roles.

1. Preliminary Notes
2. Thinking Tools
3. Engineering Skills
4. History of AI
5. Python Programming
6. Notation
7. Mathematics for DSML
8. DSML Libraries
9. Exploratory Data Analysis
10. Data Proprocessing
11. SQL
12. Classical ML
13. Deep Learning
14. Research Skills
15. Open Source
16. NLP
17. Computer Vision
18. Audio ML
19. Case Studies