ML Algorithms using Numpy

A side project where I write some popular classical ML algorithms using just numpy.

List of algorithms implemented:

1. Linear Regression
2. Logistic Regression

Structure

The folder structure is as follows:

.
├── models: Contains all the model codes
├── test_models: Contains the scripts to test the models
├── utils: Contains utilities e.g data generation
├── README.md
└── requirements.txt

To test out any model, simply run python test_models/<model_name>.py