Metadata-Version: 2.1
Name: mlba
Version: 2.0
Summary: Utility functions for 'Machine Learning for Business Analytics: Concepts, Techniques, and Applications in Python' (2nd edition)
Home-page: https://github.com/gedeck/mlba-python
Author: Peter Gedeck
Author-email: mail@petergedeck.com
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE

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

# Machine Learning for Business Analytics: Concepts, Techniques, and  Applications in Python

Collection of utility functions used in the book

> _Machine Mining for Business Analytics: Concepts, Techniques, and Applications in Python_ (Second Edition) 
> Galit Shmueli, Peter C. Bruce, Peter Gedeck, and Nitin R. Patel
> (c) 2025 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 `mlba` package from pypi (https://pypi.org/project/mlba/).
```
pip install mlba
```
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 mlba-2.0.tar.gz 
```
