Metadata-Version: 2.1
Name: process-improve
Version: 0.9.63
Summary: Process Improvement using Data: Designed Experiments; Latent Variables (PCA, PLS, multivariate methods with missing data); Process Monitoring; Batch data analysis.
Home-page: https://github.com/kgdunn/process_improve
Author: Kevin Dunn
Author-email: kgdunn@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: statsmodels
Requires-Dist: matplotlib
Requires-Dist: bokeh
Requires-Dist: sklearn
Requires-Dist: patsy
Requires-Dist: scikit-image
Requires-Dist: scikit-learn
Requires-Dist: plotly
Requires-Dist: numba
Requires-Dist: seaborn
Requires-Dist: pydantic
Requires-Dist: tqdm

# Process Improvement (using Data)

This is a package that goes with the
[online book](https://learnche.org/pid) of the same title,
Process Improvement using Data.


