In this repository you will find some algorithms that I have implemented in Python, along with some analyses I have done.

Currently included in the repo:

• Predictive modeling of customer churn data for a ride-sharing company / link
• An object-oriented implementation of the KMeans clustering unsupervised learning algorithm / link
• An object-oriented implementation of the K-nearest neighbors supervised learning algorithm / (link
  • Also included: an ad-hoc k-fold cross validation function
• A version of the (Nobel prize winning) residency match algorithm modified for the situation in which only one side submits ranks / link