A couple of Python-based bits and bobs done via Pycharm or Jupyter Notebooks. They range from more straightforward data analyses to predictive modelling, done on various open/non-proprietary datasets.
Mostly stuff I did during my Grad school days at Columbia. The code is R-based and often required coding out ML algorithms ~from scratch~ instead of using existing functions from libraries. I would argue my professors were a bit sadistic in that regard, but it was definitely educational.