Machine-Learning-Classification-with-Experiments

Version 1.0.0 (2.65 MB) by Claudia Fernanda Yasar
Train classification models from experimental data to model refinement, while also leveraging diverse classifiers for an intuitive learning
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Updated 29 Jul 2024
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Intelligent Control Systems by Asst. Prof. Dr. Claudia F. Yaşar

This repository contains the curriculum materials used for the Intelligent Control Systems course YTU Department of Control and Automation Engineering.

Machine-Learning-Classification-with-Experiments

Train classification models from experimental data to model refinement, while also leveraging diverse classifiers for an intuitive learning experience

Acknowledgements

I would like to express my gratitude to the students of the Intelligent Control Systems course of the YTÜ Control and Automation Engineering department, Class 2022 and 2023, whose dedication and hard work made this project possible. I am also deeply thankful to our Control Tech LAB team, Doctors Marco Rossi and Melda Ulusoy for their invaluable contributions.

Cite As

Claudia Fernanda Yasar (2024). Machine-Learning-Classification-with-Experiments (https://github.com/ClaudiaYasar/Machine-Learning-Classification-with-Experiments), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2022b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.