mauricioantelis/TC1002S
Mar 2025 – Mar 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Data AnalysisData ManagementData PreprocessingData ScienceData VisualizationJupyter Notebook
Esteban Munoz
PROFILE
Esteban Munoz
During March 2025, Binrock906 developed foundational data science tooling for the mauricioantelis/TC1002S repository, focusing on reproducibility and auditability. They introduced a student activity log to track notebook usage and student progress, supporting transparent auditing. Binrock906 also delivered a comprehensive suite of Jupyter Notebooks for data management, visualization, and machine learning, utilizing Python, Pandas, Seaborn, and Scikit-learn. These notebooks covered workflows such as Iris classification and K-means clustering, as well as data analysis for multiple datasets. Their work established end-to-end, scalable workflows that improved collaboration, enabled basic analytics, and enhanced the repository’s readiness for educational and collaborative use.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
3
Lines of code
15,526
Activity Months1
Your Network
27 people
Work History
March 2025
7 Commits • 3 Features
Mar 1, 2025March 2025 (2025-03) — Delivered foundational data science tooling and auditing capabilities for mauricioantelis/TC1002S. Implemented an initial student activity log to enable auditing of notebook usage and student progress, and released a comprehensive Iris and Data Science Notebook Suite covering data management with Pandas, data visualization with seaborn/matplotlib, Iris classification with scikit-learn, and K-means clustering. Added Data Analysis Notebooks for multiple datasets (cartwheel, iris, digits) to enable loading, inspection, and basic analytics. These contributions establish reproducible, audit-friendly workflows and accelerate learning outcomes while improving collaboration and scalability across datasets.
7 Commits • 3 Features
Mar 1, 2025March 2025 (2025-03) — Delivered foundational data science tooling and auditing capabilities for mauricioantelis/TC1002S. Implemented an initial student activity log to enable auditing of notebook usage and student progress, and released a comprehensive Iris and Data Science Notebook Suite covering data management with Pandas, data visualization with seaborn/matplotlib, Iris classification with scikit-learn, and K-means clustering. Added Data Analysis Notebooks for multiple datasets (cartwheel, iris, digits) to enable loading, inspection, and basic analytics. These contributions establish reproducible, audit-friendly workflows and accelerate learning outcomes while improving collaboration and scalability across datasets.
March 2025
Activity
Loading activity data...
Quality Metrics
Correctness98.6%
Maintainability97.2%
Architecture97.2%
Performance97.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Data AnalysisData ManagementData PreprocessingData ScienceData VisualizationJupyter NotebookJupyter NotebooksMachine LearningMatplotlibNumPyPandasPythonScikit-learnSeaborn
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline