Learnings
Nothing will work unless You do - Maya Angelo
Certificates
Preferred Books
- Building Machine Learning Pipelines by Hannes Hapke, Catherine Nelson
- Deep Learning for Coders with fastai and PyTorch by Jeremy Howard and Sylvain Gugger
- Feature Engineering and Selection: A Practical Approach for Predictive Models by Max Kuhn and Kjell Johnson
- Data Science in Production: Building Scalable Model Pipelines with Python by Ben G. Weber
- Missing Semester of Your CS education | MIT Open Learning
- Data Science on the Google Cloud Platform by Valliappa Lakshmanan
- Two Scoops of Django: Best Practices for Django 1.8 Book by Audrey Roy and Daniel Roy Greenfeld
- Python Machine Learning by Sebastian Raschka
- Machine Learning Mastery with Python by Jason Brownlee
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction by Trevor Hastie, Robert Tibshirani, and Jerome Friedman
- Python Machine Learning Case Studies by Danish Haroon
- Django 2.1 by Nigel George
- Hands-On Machine Learning with Scikit-Learn and TensorFlow by Aurélien Géron
- Complex Network Analysis in Python by Dmitry Zinovie
- Text Analytics with Python by Dipanjan Sarkar
- Introduction to Machine Learning with Python by Andreas C. Müller & Sarah Guido