dawgdad 1.0.2

Tools for machine learning, automation, statistics, graphics

In brevi

dawgdad is a Python library for data scientists, machine learning engineers, and statisticians. It contains statistical and graphical functions for making sense of data to create information and understanding.

• Supervised machine learning
• Six Sigma methodology
• Regular expressions
• Process capability
• Process variation
• Excel file edits
• Taguchi Methods
• Data Science
• Automation
• Analytics

Why dawgdad?

• Equivalent Python functions that are available in R, SAS, JMP, Minitab
• Other packages have limited process control analysis features
• Other packages are abandoned or inadequately supported
• Functions to support measurement system analysis
• Functions to simplify statistics, graphs, etc.
• Functions to support process control charts
• Functions to support SQL functionality
• Develop a free open source package

Documentation

Full documentation is available at https://dawgdad.readthedocs.io/en/latest/.

References

To cite this repository, please use:

@software{dawgdad, author = {Gilles Pilon}, title = {dawgdad}, url = {https://github.com/gillespilon/dawgdad}, version = {1.0.2}, date = {2024-07-25} }