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Machine Learning for Business Analyticsby Galit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel
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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.
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
1 maintainer
Metadata
1 maintainer
Release files for mlba 2.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| mlba-2.0.5.tar.gz | 18.6 MB | Without provenance | Details for mlba-2.0.5.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mlba-2.0.5-py3-none-any.whl | Python 3 | none | any | Details for mlba-2.0.5-py3-none-any.whl |
Total release size: 37.2 MB
Release files / mlba-2.0.5.tar.gz
| Download URL | mlba-2.0.5.tar.gz |
|---|---|
| Size | 18.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e407b514ba7031007b357429b77f30bd62982fab988d307ae8d3d5bbdf98c315
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BLAKE2b-256 checksum How to use checksums |
0f616915f9e84b3a2ccb95544ef05ab604ba72af11770e501b8697950b31eaba
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.11.8
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Release files / mlba-2.0.5-py3-none-any.whl
| Download URL | mlba-2.0.5-py3-none-any.whl |
|---|---|
| Size | 18.6 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ca6432a139f91dd7b8f7944131da570302d61f0e39cfd335e4cec296577d24eb
|
|
BLAKE2b-256 checksum How to use checksums |
2d138a04d826a7fee767b81fa1f8ec10667ca39f3f3cbbe7ef98a24a309b1e48
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.11.8
|
Security for mlba 2.0.5
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
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