This is a collection of notes that I have compiled on data science/machine learning.
I prepare these primarily for my own reference, but please feel free to use them as well if you find them useful.
Because these are notes that I have prepared by referring to external sources, efforts have been made to always attribute the sources. Please feel free to let me know if any information is not properly attributed.
Collection of notes on data science project management - everything requires to run a data science project successfully. This includes project workflow and stakeholder management.
Collection of notes on exploratory data analysis and feature selection/engineering - high level overview of key steps in extracting insights out of data before model training.