This directory contains some useful Data Science tutorials/cheatsheets and Projects that I tackled using different ML algorithms.
Currently useful projects include the FreeCodeCamps challenges that can be reached from the following link.
It also includes a notebook file that summarize the Kaggle's Pandas tutorial on data manupilation. Data files regarding the latter can be reached from the same link.