A side project where I write some popular classical ML algorithms
using just numpy
.
List of algorithms implemented:
- Linear Regression
- Logistic Regression
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