SharifiZarchi/Introduction_to_Machine_Learning
Nov 2025 – Dec 2025
2 Months active
Languages Used
NoneTeXLaTeXPythonpython
Technical Skills
LaTeXdocumentationeducational content creationfile organizationmachine learningoptimization algorithms
SinaDns
PROFILE
Sinadns
Contributed to the SharifiZarchi/Introduction_to_Machine_Learning repository by developing and refining educational materials and practical machine learning workflows. Focused on enhancing neural network training stability, expanding NLP capabilities, and improving the clarity of instructional content. Addressed optimization algorithm bugs and corrected mathematical representations in slides, while introducing LoRA-based fine-tuning notebooks for large language models and augmenting NLP notebooks with word embeddings and BERT-based sentiment analysis. Utilized Python, PyTorch, and LaTeX to implement features, fix runtime and presentation issues, and streamline project structure. The work emphasized reliable, maintainable code and clear documentation, supporting both teaching and experimentation in data science.
Overall Statistics
Feature vs Bugs
42%Features
Repository Contributions
13Total
Bugs
7
Commits
13
Features
5
Lines of code
946
Activity Months2
Your Network
21 peopleShared Repositories
21
Work History
December 2025
10 Commits • 3 Features
Dec 1, 2025December 2025: Delivered business-value improvements across the SharifiZarchi/Introduction_to_Machine_Learning repository, focusing on expanding practical capabilities, improving learning materials, and enhancing reliability for notebook-based workflows. Key features were introduced and refined, along with targeted fixes to presentation and data processing to ensure smooth delivery in a teaching and experimentation context.
10 Commits • 3 Features
Dec 1, 2025December 2025: Delivered business-value improvements across the SharifiZarchi/Introduction_to_Machine_Learning repository, focusing on expanding practical capabilities, improving learning materials, and enhancing reliability for notebook-based workflows. Key features were introduced and refined, along with targeted fixes to presentation and data processing to ensure smooth delivery in a teaching and experimentation context.
December 2025
November 2025
3 Commits • 2 Features
Nov 1, 2025Monthly summary for 2025-11 focused on SharifiZarchi/Introduction_to_Machine_Learning. Delivered targeted codebase improvements, stabilized training workflow, and enhanced educational content attribution. The work reduced maintenance overhead, corrected a critical optimization bug, and improved collaboration signals in the project, contributing to more reliable models and clearer contributor recognition.
November 2025
3 Commits • 2 Features
Nov 1, 2025Monthly summary for 2025-11 focused on SharifiZarchi/Introduction_to_Machine_Learning. Delivered targeted codebase improvements, stabilized training workflow, and enhanced educational content attribution. The work reduced maintenance overhead, corrected a critical optimization bug, and improved collaboration signals in the project, contributing to more reliable models and clearer contributor recognition.
Activity
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Quality Metrics
Correctness95.4%
Maintainability93.8%
Architecture93.8%
Performance93.8%
AI Usage35.4%
Skills & Technologies
Programming Languages
LaTeXNonePythonTeXpython
Technical Skills
AI model adaptationJupyterJupyter NotebookJupyter notebooksLaTeXMachine LearningNatural Language ProcessingPyTorchPython programmingdata analysisdata preprocessingdata sciencedeep learningdocument preparationdocumentation
Repositories Contributed To
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