Just imagine what you are losing just because you are not reading! — Ernest Agyemang Yeboah

I am revisiting the book titled, Introduction to Statistical Learning with Applications in R, after 7 years. It was back in 2013, when I read through this book for the first time, and worked through the book. Needless to say R ecosystem has expanded greatly since then. I have done many projects in the field of data science and have grown a bit wiser. This blogpost summarizes my re-learnings from this fascinating book, that is a bridge to Elements of Statistical Learning, a book that is considered the bible of Statistical Learning

This blog post contains the main points from the paper titled, ESG Investments: Filtering versus Machine Learning approaches.

This blog post talks about some of my learnings from the book “Mathematical Notation”

This blog post summarizes the book titled “The Formula - The Science Behind Why People Succeed or Fail”