Metadata-Version: 2.1
Name: mlalgs
Version: 0.0.3
Summary: Machine Learning Algorithms from Scratch in Python
Home-page: http://www.amirhessam.com
Author: Amirhessam Tahmassebi
Author-email: amir.benny@gmail.com
License: MIT
Download-URL: https://github.com/amirhessam88/ml-algs/
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Requires-Python: >=3.6
Description-Content-Type: text/markdown

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<p align="center">
<a href="https://www.amirhessam.com/">
  <img src="https://raw.githubusercontent.com/amirhessam88/ml-algs/master/assets/design/logo.png" width="250"></img></a>
</p>

<h1 align="center">
    Machine Learning Algorithms from Scratch in Python
</h1>


## Installation

First, install Python 3.6 from https://www.python.org, and then run:

```
pip install mlalgs
```

## Implementations
- **Logistic Regression:** [Source](mlalgs/logistic_regression.py), [Notebook](notebooks/logistic_regression.ipynb)

## Citation
If you use the library in academic work, please consider citing
https://doi.org/10.1117/12.2304418 .

### Bibtex Entry:
```bib
@inproceedings{tahmassebi2018ideeple,
  title={ideeple: Deep learning in a flash},
  author={Tahmassebi, Amirhessam},
  booktitle={Disruptive Technologies in Information Sciences},
  volume={10652},
  pages={106520S},
  year={2018},
  organization={International Society for Optics and Photonics}
}
```
### APA Entry:

Tahmassebi, A. (2018, May). ideeple: Deep learning in a flash. In Disruptive
Technologies in Information Sciences (Vol. 10652, p. 106520S). International
Society for Optics and Photonics.



