Train classification models from experimental data to model refinement, while also leveraging diverse classifiers for an intuitive learning
https://github.com/ClaudiaYasar/Machine-Learning-Classification-with-Experiments
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This repository contains the curriculum materials used for the Intelligent Control Systems course YTU Department of Control and Automation Engineering.
Train classification models from experimental data to model refinement, while also leveraging diverse classifiers for an intuitive learning experience
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.
Cita come
Claudia Fernanda Yasar (2026). Machine-Learning-Classification-with-Experiments (https://github.com/ClaudiaYasar/Machine-Learning-Classification-with-Experiments), GitHub. Recuperato .
Riconoscimenti
Ispirato da: Simulink Temperature Control Lab (TCLab) with Arduino
Informazioni generali
Compatibilità della release di MATLAB
- Compatibile con qualsiasi release
Compatibilità della piattaforma
- Windows
- macOS
- Linux
Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate
| Versione | Pubblicato | Note della release | Action |
|---|---|---|---|
| 1.0.0 |

