A blog going through the process of various datascience projects. Includes figuring out a problem to solve, getting the data for the problem, cleaning the data as neccessary, and then exploring the data with visual libraries. The blog posts will then go through using scikit-learn and the various machine learning algorthims it has.
This section allows users to get hands on experience with python libraries such as pandas, numpy, seaborn, and scikit-learn. It also has pages explaining the libraries and the various ways the are used. There will be pages on machine learning algorithms as well.