# mlba-python

**Repository Path**: wang19990103q/mlba-python

## Basic Information

- **Project Name**: mlba-python
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-10-11
- **Last Updated**: 2025-10-11

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

[![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)

<table>
<tr>
<td><img src="img/mlba-python-cover.png" width=275></td>
<td>
    <h3>Machine Learning for Business Analytics</h3>
    <p>by Galit Shmueli, Peter C. Bruce, <a href="https://www.amazon.com/Peter-Gedeck/e/B082BJZJKX/">Peter Gedeck</a>, Nitin R. Patel</p>
    <ul>
    <li>Publisher: Wiley; 2nd edition (2025)</li>
    <li>ISBN-13: 978-1-119-54984-0</li>
    <li>Buy from 
      <a href="https://www.amazon.com/Machine-Learning-Business-Analytics-Applications/dp/1394286791/">Amazon</a>,
      <a href="https://www.barnesandnoble.com/w/machine-learning-for-business-analytics-galit-shmueli/1146602430">Barnes & Noble</a>
    </li>
    <li>Book webpage: <a href="https://www.dataminingbook.com/editions/python-2nd-edition-june-2025">https://www.dataminingbook.com/editions/python-2nd-edition-june-2025</a></li>
    </ul>
</td>
</tr>
</table>

## Collection of utility functions for "Machine Learning for Business Analytics" 

This repository contains the source code of the `mlba` package, a collection of utility functions and datasets used in the book. 

For more information about the book, the source code to the chapters, and instructor material go to [https://www.dataminingbook.com/editions/python-2nd-edition-june-2025](https://www.dataminingbook.com/editions/python-2nd-edition-june-2025).


## 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 
```