HWTeng-Teaching/202409-ML-FinTech
Nov 2024 – Dec 2024
2 Months active
Languages Used
JSONJupyter NotebookPython
Technical Skills
Bootstrap ResamplingCross-ValidationCross-validationData AnalysisData PreprocessingData Simulation
Ben Soo
PROFILE
Ben Soo
Contributed to the HWTeng-Teaching/202409-ML-FinTech repository by establishing foundational documentation, project structure, and a suite of machine learning notebooks focused on practical modeling and business-oriented demonstrations. Leveraged Python, Jupyter Notebooks, and libraries such as scikit-learn and pandas to deliver hands-on experiments covering regression, classification, and statistical modeling. Developed mathematics utilities for visualization and learning support, and managed visual assets to enhance content delivery. Additionally, maintained repository hygiene by organizing and curating presentation materials, including asset-level management for NVIDIA stock prediction presentations, ensuring clarity for stakeholders and facilitating future reuse without impacting the underlying codebase or project integrity.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
18Total
Bugs
1
Commits
18
Features
5
Lines of code
6,838
Activity Months2
Your Network
7 peopleWork History
December 2024
5 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for HWTeng-Teaching/202409-ML-FinTech focusing on asset-level deliverables and repository hygiene around NVIDIA stock prediction materials. Delivered and cleaned up presentation assets to support stakeholder reviews without impacting codebase.
5 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for HWTeng-Teaching/202409-ML-FinTech focusing on asset-level deliverables and repository hygiene around NVIDIA stock prediction materials. Delivered and cleaned up presentation assets to support stakeholder reviews without impacting codebase.
December 2024
November 2024
13 Commits • 4 Features
Nov 1, 2024Month: 2024-11 | Repository: HWTeng-Teaching/202409-ML-FinTech. Delivered foundational documentation scaffolding and project structure, a collection of machine learning notebooks and experiments with business-oriented demonstrations, a mathematics utilities notebook, and a new visual asset to support content delivery. These changes improve onboarding, reproducibility, and stakeholder-facing demonstrations, while establishing a solid platform for ongoing ML learning and content delivery.
November 2024
13 Commits • 4 Features
Nov 1, 2024Month: 2024-11 | Repository: HWTeng-Teaching/202409-ML-FinTech. Delivered foundational documentation scaffolding and project structure, a collection of machine learning notebooks and experiments with business-oriented demonstrations, a mathematics utilities notebook, and a new visual asset to support content delivery. These changes improve onboarding, reproducibility, and stakeholder-facing demonstrations, while establishing a solid platform for ongoing ML learning and content delivery.
Activity
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Quality Metrics
Correctness95.0%
Maintainability94.6%
Architecture93.4%
Performance94.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookPython
Technical Skills
Bootstrap ResamplingCross-ValidationCross-validationData AnalysisData PreprocessingData SimulationData VisualizationISLP LibraryJupyter NotebookJupyter NotebooksK-Nearest NeighborsLasso RegressionLinear Discriminant AnalysisLinear RegressionLogistic Regression
Repositories Contributed To
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