Language Breakdown
Lines of code distribution across 22 owned repositories
I-Shaped Developer
I-shapedSpecialist — deep expertise in Jupyter Notebook
Collaboration Network
Global Impact visualization
Repos
25
PRs
0
Growth
+18%
Top Collaborators
No collaborator data yet.
Coding Streak
Contribution activity over the past year
abdelrahman tarek saad
@XTarekkX
Omar Ahmed
@OmarAhmed2412
Kirollos Saad
@Kirollos-Saad
Yusuf El-Nady
@yusufElnady
peter anton
@Peter-Anton
Top Repositories
• Developed a responsive and interactive web application , Implemented pagination for efficient data management and employed robust security measures to protect against SQL injection attacks, ensuring the integrity and security of the system
UnsupervisedLearning-PCA-KMeans is focused on implementing and evaluating dimensionality reduction through Principal Component Analysis (PCA) and clustering through K-Means algorithm. The project aims to identify inherent patterns or groupings within the Breast Cancer Wisconsin (Diagnostic) dataset without using labels.
This project focuses on utilizing machine learning techniques to predict an individual's smoking status using bio-signals. The project encompasses various stages including data analysis (univariate, bivariate, and multivariate), feature engineering, ensemble methods implementation (bagging, boosting, and random forests), and hyperparameter tuning.
DigitRecognition focuses on building a handwritten digit recognition system using PyTorch. It includes a custom neural network, efficient data handling with Torch data loader, specialized training loop with custom gradient descent, and architectural enhancements like dropout layers for better performance.
The ML-KNN-LinearLassoRidge project is centered around implementing the K-Nearest Neighbors (K-NN) Classifier and exploring various regression techniques including linear regression, lasso regression, and ridge regression. These algorithms are applied to tackle classification and regression tasks in machine learning.
comparable performance to scikit-learn's implementations
• Implemented a multilevel feedback queue system in Java, consisting of three priority levels with varying CPU time allocations. The system employs round-robin scheduling for the first two levels and first-come, first-served scheduling for the third level
Open Source Impact
Contributions to external projects
No external contributions found.