ML-PSE/Machine_Learning_for_DPS
Code repository for the book 'Machine Learning in Python for Dynamic Process Systems'
This project provides the code and datasets accompanying the book 'Machine Learning in Python for Dynamic Process Systems'. It helps process engineers and control system designers understand how to apply machine learning techniques to real-world industrial processes. You provide process data, and the project demonstrates how to build and analyze machine learning models for dynamic systems.
No commits in the last 6 months.
Use this if you are a process engineer, control systems designer, or chemical engineering student looking to apply machine learning to dynamic industrial processes.
Not ideal if you are looking for a general-purpose machine learning library without a specific focus on dynamic process systems.
Stars
14
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3
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jan 13, 2024
Commits (30d)
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