Mohamad Selawy
@Mohamad-SelawyI am a dedicated Artificial Intelligence student at the Hashemite University in Zarqa, Jordan, with a strong passion for Data Science and AI. Since starting my
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I-Shaped Developer
I-shapedSpecialist — deep expertise in Jupyter Notebook
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10
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0
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+18%
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Tanu Nanda Prabhu
@Tanu-N-Prabhu
Joey Blue
@EmbarkBlue
AmrAlmari
@AmrAlmari
Samer Harb
@SamerEH213
Kevin Wood
@kevinwoodrobotics
Top Repositories
Python Data Science Handbook: full text in Jupyter Notebooks
This repository helps you learn Python and Machine Learning from scratch.
Jupyter Notebooks for How to Think Like a Computer Scientist - Learning with Python 3 (RLE) Textbook
Built an ETL pipeline to extract data from a car store's inventory and sales systems, transform it for consistency, and load it into a data warehouse. Enabled efficient reporting on sales trends, stock levels, and customer insights.
Designed a differential drive robot using ROS2, visualized it in Rviz, and simulated its motion and behavior in Gazebo Classic for testing and validation of the URDF and control systems.
This project aims to compare the performance of multiple Machine Learning models on a specific dataset using evaluation metrics such as accuracy, precision, recall, and F1-score to determine the most effective algorithm.
Built an Information Retrieval System that indexes and ranks documents based on user queries using techniques like TF-IDF and cosine similarity. Designed to efficiently retrieve relevant results from large text corpora.
Developed a Face Recognition System using deep learning (CNNs) to identify individuals based on facial features. The model was trained on a labeled dataset and achieved accurate classification of known faces in images.
This project focuses on generating cartoon-style facial images by implementing a Deep Convolutional Generative Adversarial Network (DCGAN), showcasing the potential of deep learning in creative and generative tasks
The primary goal of this project is to develop a robust predictive model for early detection of breast cancer from medical images. This project will utilize advanced machine learning algorithms and deep learning techniques to analyze medical images and identify patterns indicative of breast cancer.
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