SharifiZarchi/Introduction_to_Machine_Learning
Dec 2025 – Dec 2025
1 Month active
Languages Used
Python
Technical Skills
Jupyter NotebooksPyTorchcomputer visiondata augmentationdeep learning
zahra-rahmani
PROFILE
Zahra-rahmani
Zahra Rahmaniez enhanced the SharifiZarchi/Introduction_to_Machine_Learning repository by developing a Jupyter Notebook that demonstrates end-to-end deep learning image classification using a tailored AlexNet model on the Fashion-MNIST dataset. She focused on improving the notebook’s clarity and reproducibility, integrating detailed explanations, visualizations, and data augmentation techniques to support practical experimentation. Leveraging Python and PyTorch, Zahra’s work enables rapid prototyping and validation of convolutional neural network workflows within an educational context. The enhancements addressed both technical depth and usability, making the resource more accessible for data science teams seeking hands-on experience with computer vision and deep learning methodologies.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
4,069
Activity Months1
Your Network
21 peopleShared Repositories
21
Work History
December 2025
1 Commits • 1 Features
Dec 1, 2025In December 2025, the focus was on delivering hands-on ML learning resources with an emphasis on practical CNN workflows and reproducibility. The work centers on the SharifiZarchi/Introduction_to_Machine_Learning repository, delivering a ready-to-run AlexNet-based Fashion-MNIST example within enhanced notebooks.
1 Commits • 1 Features
Dec 1, 2025In December 2025, the focus was on delivering hands-on ML learning resources with an emphasis on practical CNN workflows and reproducibility. The work centers on the SharifiZarchi/Introduction_to_Machine_Learning repository, delivering a ready-to-run AlexNet-based Fashion-MNIST example within enhanced notebooks.
December 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Jupyter NotebooksPyTorchcomputer visiondata augmentationdeep learning
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