data-science-notebooks

Code references to data science stuff I find online

##Things I want to cover:

1. EDA (notebook: eda_cheatsheet.ipynb)
2. Numpy (notebook: numpy_practice.ipynb)
3. Pandas
4. ML features
5. Classification
6. Regression
7. Pipeline
8. Tensorflow basics
9. Recommendation systems
10. Spam filtering
11. ML for Ads
12. NLP basics
13. SQL
14. Spark