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
Alireza Mirrokni updated course materials in the SharifiZarchi/Introduction_to_Machine_Learning repository by integrating a logistic regression model directly into the AlexNet Jupyter notebook, replacing an outdated PDF resource. Using Python and Jupyter Notebooks, Alireza streamlined the hands-on learning experience, allowing students to experiment with logistic regression in the context of convolutional neural networks. The update focused on content curation and model integration, ensuring that learners access current, executable examples rather than static documents. While the work addressed only one feature and no bugs, it demonstrated a focused approach to maintaining curriculum relevance and improving the data science workflow for users.
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 Delivered an integrated logistic regression model within the AlexNet Jupyter notebook and removed an outdated logistic regression PDF, ensuring learners access current resources.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 Delivered an integrated logistic regression model within the AlexNet Jupyter notebook and removed an outdated logistic regression PDF, ensuring learners access current resources.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
Loading activity data...
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
Overview of all repositories you've contributed to across your timeline