A project aimed to practice creating algorithms to solve challenges with data. Contributors: Aidan Abbott & Andrey Shor
This project aims to improve our ability to manipulate data for prediction, classification, and forecasting purposes. This project will be separate into phases with the first phase being the "learning" phase. This phase consists of developing pre-existing algorithms such as linear regression, KNN, naive bayes, etc. from scratch so that a foundational understanding is developed.
Google collab will be used as it allows for multiple people to work on the same code document at the same time. It also comes with many libraries such as tensorflow already installed.
Financial Investigation: https://colab.research.google.com/drive/1om8hKmLrR1n7f7wBh0IzIpERIUZqqsVz?usp=sharing
Clustering: https://drive.google.com/open?id=1DFVSTEo09-d5JJ4C_7zSv6wQkxWa2jGT
Regression: https://colab.research.google.com/drive/1OZ45dlJ_CPHr6-v3lAwwAXdz9bkXqkDY?usp=sharing