Cookbook for Data Science in Python
- Jupyter Notebook
- Google colab
Scikit-Learn Cheat sheet - https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf
Codes for various ML algos - https://www.analyticsvidhya.com/blog/2017/09/common-machine-learning-algorithms/
https://www.analyticsvidhya.com/blog/2018/06/comprehensive-guide-for-ensemble-models/
Imbalanced Classification - https://www.analyticsvidhya.com/blog/2017/03/imbalanced-classification-problem/
TreeBased Modeling - https://www.analyticsvidhya.com/blog/2016/04/complete-tutorial-tree-based-modeling-scratch-in-python/
- https://medium.com/towards-artificial-intelligence/best-datasets-for-machine-learning-data-science-computer-vision-nlp-ai-c9541058cf4f
- Above link has datasets related to NLP, Autonomous driving, recommender systems