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Achievement: Pull SharkAchievement: YOLO
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sadegh15khedry/README.md

Hello there, I'm Sadegh 👋

I'm a software enthusiast with a Bachelor's degree in Computer Science, I have some experience in deep learning, .NET development and Android development.

About Me

  • 🎓 Bachelor of Computer Science
  • 👨‍💻 Coding enthusiast
  • 💼 Currently honing my machine learning skills
  • 🌱 Passionate to learning new skills
  • 🤝 Open to collaborations and eager to contribute to exciting projects

Skills

  • Programming Languages: Python, C#, C, Java
  • Frameworks & Libraries: Keras, Scikit-learn, Pandas, NumPy, Matplotlib,, .NET Framework, Android SDK
  • Tools & Technologies: Visual Studio Code, Visual Studio, Android Studio
  • Other Skills: problem-solving, teamwork

Experience

  • Deep Learning (1 year): Explored various deep learning techniques and frameworks, implementing projects in computer vision and natural language processing domains.
  • .NET Development (2 years): Developed web applications using ASP.NET, MVC framework, dapper and Entity Framework.
  • SQL Server (2 years): designed and implemented releational databases.
  • Android Development (3 months): Built Android applications using Java and Android SDK, focusing on UI/UX design and app functionality.

💻 Tech Stack:

Python Keras Matplotlib NumPy Pandas scikit-learn TensorFlow C C# .Net MicrosoftSQLServer GitHub

📊 GitHub Stats:



🏆 GitHub Trophies

🔝 Top Contributed Repo

Projects

Here are a few projects I've worked on:

  1. Pneumonia Detection using CNN: training and evaluating a convolutional neural network (CNN) model to detect pneumonia from chest X-ray images. [Link to GitHub Repo])
  2. ML Algorithms from scratch: This project is dedicated to implementing various machine learning algorithms from scratch to gain a deeper understanding of how they work. [Link to GitHub Repo]
  3. Movie-Recommendation-System-Using-Collaborative-Filtering: building a movie recommendation system using collaborative filtering techniques. [Link to GitHub Repo]
  4. Lunar-Lander-Using-PPO: This repository contains code for training and evaluating a Lunar Lander agent using the Proximal Policy Optimization (PPO) algorithm. [Link to GitHub Repo]
  5. Comments Sentiment Analysis: Comments Sentiment Analysis is a project focused on analyzing the sentiment of user comments. [Link to GitHub Repo]

🌐 Socials:

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Feel free to reach out to me for collaborations or discussions about technology and software development!

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  1. Pneumonia-Detection-Using-CNN Pneumonia-Detection-Using-CNN Public

    Classifying chest X-ray images into two categories: Pneumonia or Normal using a Convolutional Neural Network (CNN).

    Jupyter Notebook

  2. Lunar-Lander-Using-PPO Lunar-Lander-Using-PPO Public

    Training an agent to land a spacecraft in the LunarLander environment.

    Jupyter Notebook

  3. CreditCard-Transaction-Anomaly-Detection-Using-IsolationForest CreditCard-Transaction-Anomaly-Detection-Using-IsolationForest Public

    detecting fraudulent transactions in credit card data using anomaly detection techniques.

    Jupyter Notebook

  4. ML-Algorithms-From-Scratch ML-Algorithms-From-Scratch Public

    This project is dedicated to implementing various machine learning algorithms from scratch to gain a deeper understanding of how they work.

  5. Movie-Recommendation-System-Using-Collaborative-Filtering Movie-Recommendation-System-Using-Collaborative-Filtering Public

    building a movie recommendation system using collaborative filtering techniques.

    Jupyter Notebook

  6. Comments-Sentiment-Analysis Comments-Sentiment-Analysis Public

    text classification on comments using an ANN model.

    Python