SharifiZarchi/Introduction_to_Machine_Learning
Nov 2025 – Nov 2025
1 Month active
Languages Used
PDFPython
Technical Skills
Jupyter NotebooksPythondata analysisdata sciencemachine learningstatistical analysis
alirezamirrokni
PROFILE
Alirezamirrokni
Contributed to the SharifiZarchi/Introduction_to_Machine_Learning repository by updating course materials and integrating a logistic regression model within the AlexNet Jupyter notebook. The work involved removing an outdated logistic regression PDF to ensure learners access the most current resources and embedding a ready-to-run logistic regression workflow directly into the convolutional neural network context. Leveraging Python and Jupyter Notebooks, the developer focused on enhancing hands-on learning and streamlining the data science workflow for students. No major bugs were reported or fixed during this period, and the updates were documented through version control, reflecting a targeted and curriculum-driven engineering approach.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
1,192
Activity Months1
Your Network
21 peopleShared Repositories
21
Work History
November 2025
2 Commits • 1 Features
Nov 1, 2025Month: 2025-11 — Updated course content and model integration for Logistic Regression in SharifiZarchi/Introduction_to_Machine_Learning. Delivered an integrated logistic regression model within the AlexNet Jupyter notebook and removed an outdated logistic regression PDF, ensuring learners access current resources. Major bugs fixed: none reported this month. Overall impact: enhanced hands-on learning with up-to-date materials and a ready-to-run logistic regression workflow within the CNN context, accelerating experimentation and curriculum relevance. Technologies/skills demonstrated: Python, Jupyter, model integration, data science workflow, Git/version control, and content curation.
2 Commits • 1 Features
Nov 1, 2025Month: 2025-11 — Updated course content and model integration for Logistic Regression in SharifiZarchi/Introduction_to_Machine_Learning. Delivered an integrated logistic regression model within the AlexNet Jupyter notebook and removed an outdated logistic regression PDF, ensuring learners access current resources. Major bugs fixed: none reported this month. Overall impact: enhanced hands-on learning with up-to-date materials and a ready-to-run logistic regression workflow within the CNN context, accelerating experimentation and curriculum relevance. Technologies/skills demonstrated: Python, Jupyter, model integration, data science workflow, Git/version control, and content curation.
November 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
PDFPython
Technical Skills
Jupyter NotebooksPythondata analysisdata sciencemachine learningstatistical analysis
Repositories Contributed To
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