Metadata-Version: 2.1
Name: dmba
Version: 0.2.4
Summary: Utility functions for 'Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python'
Home-page: https://github.com/gedeck/dmba
Author: Peter Gedeck
Author-email: mail@petergedeck.com
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: graphviz
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: scipy
Provides-Extra: ipython
Requires-Dist: ipython ; extra == 'ipython'

[![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-0.2.3.tar.gz 
```
Adjust the link as required.
