This is a reoository with the code created for a course on Advanced machine learning in physics. The project was based on the Higgs ML challenge from 2012.
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Updated
Apr 25, 2023 - Python
This is a reoository with the code created for a course on Advanced machine learning in physics. The project was based on the Higgs ML challenge from 2012.
Code for the Higgs Boson Machine Learning Challenge organised by CERN & EPFL
🔭 📈 Supervised Machine Learning techniques used to categorise Higgs boson events using data collected from the Large Hadron Collider, CERN.
Supervised classification algorithms employed to explore and identify Higgs bosons from particle collisions, like the ones produced in the Large Hadron Collider. HIGGS dataset is used..
A 1st year statistics of measurements project for the undergraduate physics course at Imperial College London.
Training Higgs Dataset with Keras - https://doi.org/10.5281/zenodo.13133945
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