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MasterHead

Hi there, I'm Noureldin Mohamed!

I'm a Communications and Information Engineer. I am enchanted by the infinite possibilities hidden within the captivating worlds of Data Science and Machine Learning, where algorithms dance with data to unlock the secrets of the universe.

Coding

roon311

  • 🌱 I’m currently learning Dart-Flutter
  • 📫 How to reach me: [email protected]
  • ⚡ Hobby: Watching kdramas🎬

Connect with me:

nourhamedo noureldinhamedo

Languages and Tools:

arduino c cplusplus csharp dart firebase flutter git java linux matlab mysql opencv pandas python pytorch qt scikit_learn seaborn tensorflow golang

My Stats:

Roon311's Projects

air-levitation icon air-levitation

Control project where we were trying to maintain the ball position through the use of a DC fan, ultrasonic sensor, and an arduino

asr-evaluation icon asr-evaluation

Evaluating ASR files through SCTK/SCLITE. The Hypothesis-Reference mismatch words are then classified.

huffman icon huffman

Huffman encoding wiithout the use of trees

lightingproductclassifier icon lightingproductclassifier

Load images from a link, apply it to a deep learning model to check if the image is of a product or an application. If it is not for a product search for image of a product in the csv file and validate it using the model. Then edit the csv .

neuralnetwork icon neuralnetwork

Implementing Neural network from scratch and investigating the effect of using different activation functions

nlp icon nlp

This is a repository for understanding NLP

os-scheduler icon os-scheduler

This is the operating system course project. It is a scheduler.

producer-consumer icon producer-consumer

This is an implementation for semaphores to solve the producer, consumer problem.

rnn-models icon rnn-models

Using two RNN models (one with simple vanilla RNN cells, other with GRU cells) to predict the temperature 1 hour into the future given the past 12 hours:

spot icon spot

Study Plan Organnizing Tool

yolo icon yolo

This GitHub repository contains code and models for performing object detection using different versions of the YOLO (You Only Look Once) algorithm, including YOLOv3, YOLOv5, and YOLOv8. The project utilizes the Ultralytics YOLOv3 implementation, as well as the Darknet framework for YOLOv3.

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