Metadata-Version: 2.1
Name: ml-express
Version: 0.1.1
Summary: A Python library for day to day data analysis and machine learning.
Home-page: https://github.com/ved93/ml-express
Author: Ved
Author-email: vpved93@gmail.com
License: License :: OSI Approved :: MIT License
Platform: UNKNOWN
Description-Content-Type: text/markdown
Requires-Dist: scipy (>=1.2.1)
Requires-Dist: numpy (>=1.16.2)
Requires-Dist: pandas (>=0.24)
Requires-Dist: scikit-learn (>=0.23.2)
Requires-Dist: pandas-profiling (==2.11.0)
Requires-Dist: matplotlib (>=3.0.0)
Requires-Dist: joblib (>=0.13.2)
Requires-Dist: Pillow (==8.1.2)
Requires-Dist: seaborn (>=0.11.1)
Requires-Dist: graphviz (==0.16)
Requires-Dist: sklearn-pandas (>=1.8.0)
Requires-Dist: isoweek (==1.3.3)
Requires-Dist: pandas-summary (==0.0.7)

# ml_express

A Python library for day to day data analysis and machine learning.
This aims to make data building, cleaning and machine learning much much faster.

^This is beta release. Some functionality might break. 

## Installation

pip install ml-express

## Usage

```python
import ml_express as mlx
from ml_express import eda

# this will create an html report and report will be saved in report folder in working directory
eda.create_summary_report(df)

```


## Contributing
Contributions are very welcome. Please feel free to submit PR. 


## License
Distributed under the terms of the MIT license, "ml-express" is free and open source software

## Issues
If you encounter any problems, please file an issue along with a detailed description.

