Data Science Learning Repository
This repository serves as documentation and a progress tracker for my learning and understanding of various machine learning algorithms. All code is written from scratch, and datasets are from a variety of sources such as Kaggle, and sklearn's built in datasets.
The goal of this project is to gain a better understanding of various machine learning algorithms, by creating them from scratch through the use of object-oriented programming in python.
Classification and Regression algorithms are placed in the appropriate folders, tests are stored separately. Feel free to clone and run the tests and modify the parameters for more optimized results.