This repository contains a few projects and tutorials I wrote for my blog to improve my understanding and practice delivering ML concepts lucidly. Due to lack of time I haven't been able to update my blog so I am uploading IPython Notebooks to share my work.
I firmly believe that 'Data trumps human bias'. But from my limited experience, machine learning models still require expert (human) validation and sound assumptions about data. Therefore, I really enjoy reading about how human intuition and machine learning capabilities can be integrated in solving real world problems in energy, healthcare and business.
I also happen to be an engineer so I get to tinker with code and learn! My professional and research interests are -
- Applied Machine Learning
- Reinforcement Learning
- Statistical Thinking & Data Visualization
- Data Driven Product Development - A/B Testing, User Engagement etc.
- Scalability