dmba

Name	dmba JSON
Version	0.2.2 JSON
	download
home_page	https://github.com/gedeck/dmba
Summary	Utility functions for 'Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python'
upload_time	2023-04-26 19:21:53
maintainer
docs_url	None
author	Peter Gedeck
requires_python
license
keywords
VCS
bugtrack_url
requirements	numpy
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            [![PyPI](https://badge.fury.io/py/dmba.svg)](https://pypi.org/project/dmba/)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/dmba)](https://pypi.org/project/dmba/)
![Python](https://github.com/gedeck/dmba/actions/workflows/build.yml/badge.svg)

# Data Mining for Business Analytics: Concepts, Techniques, and  Applications in Python

Collection of utility functions used in the book

> _Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python_ (First Edition) 
> Galit Shmueli, Peter C. Bruce, Peter Gedeck, and Nitin R. Patel
> (c) 2019 John Wiley & Sons, Inc. 

Code for the book and the used datasets are available on https://www.dataminingbook.com/book/python-edition.


## Installation
Use `pip` to install the `dmba` package from pypi (https://pypi.org/project/dmba/).
```
pip install dmba
```
Should this not work, for example when you are behind a firewall, download the package from pypi and install from file, e.g.
```
pip install dmba-0.1.0.tar.gz 
```
Adjust the link as required.



            

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