# numpy-ml

**Repository Path**: sdkmsdn_admin/numpy-ml

## Basic Information

- **Project Name**: numpy-ml
- **Description**: Machine learning, in numpy
- **Primary Language**: Unknown
- **License**: GPL-3.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-03-27
- **Last Updated**: 2023-04-02

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# numpy-ml
Ever wish you had an inefficient but somewhat legible collection of machine
learning algorithms implemented exclusively in numpy? No? 

## Documentation
To see all of the available models, take a look at the [project documentation](https://numpy-ml.readthedocs.io/) or see [here](https://github.com/ddbourgin/numpy-ml/blob/master/numpy_ml/README.md).

## Contributing

Am I missing your favorite model? Is there something that could be cleaner /
less confusing? Did I mess something up? Submit a PR! The only requirement is
that your models are written with just the [Python standard
library](https://docs.python.org/3/library/) and [NumPy](https://www.numpy.org/). The
[SciPy library](https://scipy.github.io/devdocs/) is also permitted under special
circumstances ;)

See full contributing guidelines [here](./CONTRIBUTING.md).