Insight-Sogang-Univ/insight-14th
Sep 2025 – Sep 2025
1 Month active
Languages Used
Jupyter NotebookMarkdownPython
Technical Skills
Data AnalysisData ScienceData VisualizationFeature EngineeringJupyter NotebooksMachine Learning
dianner21
PROFILE
Dianner21
Developed a comprehensive suite of regression learning resources for the Insight-Sogang-Univ/insight-14th repository, supporting learners from introductory to advanced levels. The work centered on authoring and structuring Jupyter Notebooks that cover basic linear regression, multiple regression, and advanced assignment materials, all standardized for a consistent learner experience. Leveraging Python, Pandas, and Scikit-learn, the developer implemented practice resources and assignments that align with course progression and evaluation criteria. This feature-focused contribution enhanced the repository’s instructional readiness, enabling scalable teaching and streamlined assessment. No major bugs were reported, reflecting a focus on robust resource delivery and course material completeness.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
13,025
Activity Months1
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Work History
September 2025
3 Commits • 1 Features
Sep 1, 2025Month: 2025-09 Overview: Focused on delivering comprehensive regression learning resources to support learners from introductory to advanced levels within the Insight-Sogang-Univ/insight-14th repository. No major bugs documented for this period; primary value came from feature delivery and resource authoring that enhances course completeness and learner outcomes.
3 Commits • 1 Features
Sep 1, 2025Month: 2025-09 Overview: Focused on delivering comprehensive regression learning resources to support learners from introductory to advanced levels within the Insight-Sogang-Univ/insight-14th repository. No major bugs documented for this period; primary value came from feature delivery and resource authoring that enhances course completeness and learner outcomes.
September 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance73.4%
AI Usage33.4%
Skills & Technologies
Programming Languages
Jupyter NotebookMarkdownPython
Technical Skills
Data AnalysisData ScienceData VisualizationFeature EngineeringJupyter NotebooksMachine LearningMatplotlibNumPyPandasRegression AnalysisScikit-learn
Repositories Contributed To
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