Utility functions for 'Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python'
Project description
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-0.0.14.tar.gz
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file mlba-1.9.34.tar.gz
.
File metadata
- Download URL: mlba-1.9.34.tar.gz
- Upload date:
- Size: 18.6 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0a9cbe16fc452f097235a1f4b7d92a14b6d8e2167ce278a01cbfc69f4ef04a64 |
|
MD5 | 6529ef12e380faef296b93c296459ae1 |
|
BLAKE2b-256 | eb00db94e8f6b9ffde6d958a9499a724d745482573b71d8a5d989222e1439475 |
File details
Details for the file mlba-1.9.34-py3-none-any.whl
.
File metadata
- Download URL: mlba-1.9.34-py3-none-any.whl
- Upload date:
- Size: 18.6 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2efac82eb3b37ddf67c8d65cb3aa6bd4331bd52c85f13fca8470c9323f6a4978 |
|
MD5 | e3a60bc05f3d59a390f712a46de2b141 |
|
BLAKE2b-256 | 0778888867d64a8c82c8f2c3430858acd252730a2a737e9da668c74c9fd4a6cd |