blackSwanCS/Higgs_collaboration_B
Jun 2025 – Jun 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Data ScienceLightGBMMachine LearningNumPyPandasPython
aymen
PROFILE
Aymen
Worked on stabilizing the Higgs_collaboration_B pipeline by addressing critical issues in LightGBM integration and the HiggsML training and prediction flow. Focused on correcting fit argument handling and ensuring that test data was properly converted to NumPy arrays before prediction, which reduced crashes and input-type errors. Improved the reliability of the end-to-end pipeline by resolving a ValueError in the fit_submission process, clarifying data handling, and refining pipeline sequencing. Utilized Python, Pandas, and LightGBM within Jupyter Notebook environments to deliver more dependable experiments and smoother model deployment. The work emphasized robust data science practices and enhanced overall pipeline stability.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
3Total
Bugs
2
Commits
3
Features
0
Lines of code
1,372
Activity Months1
Your Network
41 peopleShared Repositories
21
Work History
June 2025
3 Commits
Jun 1, 2025June 2025: Focused on stabilizing the Higgs_collaboration_B pipeline by fixing critical LightGBM integration issues and the HiggsML training/predictor flow. Delivered robust data handling, reduced crashes and input-type errors, and improved reliability for model deployment.
3 Commits
Jun 1, 2025June 2025: Focused on stabilizing the Higgs_collaboration_B pipeline by fixing critical LightGBM integration issues and the HiggsML training/predictor flow. Delivered robust data handling, reduced crashes and input-type errors, and improved reliability for model deployment.
June 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture60.0%
Performance60.0%
AI Usage33.4%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Data ScienceLightGBMMachine LearningNumPyPandasPython
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