slds-lmu/lecture_sl
Dec 2024 – Jan 2025
2 Months active
Languages Used
LaTeXRnw
Technical Skills
DocumentationLaTeXMachine LearningSupport Vector MachinesTechnical Writing
Yawei Li
PROFILE
Yawei Li
Contributed to the slds-lmu/lecture_sl repository by enhancing machine learning lecture materials and improving the reliability of student-facing assets. Focused on correcting Support Vector Machine notation and LaTeX rendering in exercises, ensuring accurate mathematical representation across both source files and compiled PDFs. Expanded the componentwise gradient boosting content by introducing new sections, reorganizing chapters, and refining slide titles to improve course structure and clarity. Addressed packaging errors in regularization materials by updating binary PDFs and validating the end-to-end workflow. Utilized LaTeX and Rnw for technical writing and documentation, resulting in more accurate, maintainable, and accessible teaching resources for students.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
8Total
Bugs
2
Commits
8
Features
2
Lines of code
39
Activity Months2
Your Network
10 peopleShared Repositories
10
Work History
January 2025
7 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for slds-lmu/lecture_sl. Focused on correcting SVM notation, expanding componentwise gradient boosting content, and refreshing lecture PDFs assets. Delivered content accuracy, improved course structure, and up-to-date assets, directly contributing to clearer student learning materials and more maintainable lecture resources.
7 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for slds-lmu/lecture_sl. Focused on correcting SVM notation, expanding componentwise gradient boosting content, and refreshing lecture PDFs assets. Delivered content accuracy, improved course structure, and up-to-date assets, directly contributing to clearer student learning materials and more maintainable lecture resources.
January 2025
December 2024
1 Commits
Dec 1, 2024Monthly summary for 2024-12 focusing on key accomplishments, bug fixes, and business impact for slds-lmu/lecture_sl.
December 2024
1 Commits
Dec 1, 2024Monthly summary for 2024-12 focusing on key accomplishments, bug fixes, and business impact for slds-lmu/lecture_sl.
Activity
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Quality Metrics
Correctness97.6%
Maintainability97.6%
Architecture95.0%
Performance95.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
LaTeXRnw
Technical Skills
DocumentationLaTeXMachine LearningSupport Vector MachinesTechnical Writing
Repositories Contributed To
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