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Achievement: YOLOAchievement: Pull Sharkx2

Achievements

Achievement: YOLOAchievement: Pull Sharkx2

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yohannestayez/README.md

🌟 Hi there! I’m Yohannes Taye 👋


🎓 Fourth-Year Computer Science Student at Unity University, passionate about technology and driven to create innovative solutions to real-world problems.

💡 What I’m Passionate About

  • Artificial Intelligence & Machine Learning 🤖
  • Data Science & Big Data Analytics 📊
  • Computer Vision & Natural Language Processing 🔍
  • Building robust, scalable systems and contributing to open-source communities 🌐

📚 Tech Stack I Work With

  • 💻 Languages: Python, Java, JavaScript, PHP
  • 🌐 Frontend: HTML, CSS, Bootstrap, React.js
  • ⚙️ Backend & Frameworks: Flask, FastAPI
  • 📊 Data Science: NumPy, Pandas, Matplotlib, scikit-learn, PyTorch, SQLAlchemy
  • 🛠️ DevOps: Docker, Git, PostgreSQL

🎯 What I Can Do for You

  • Build and optimize machine learning models for predictive analysis and more.
  • Analyze and visualize large datasets 📈 to derive actionable insights.
  • Collaborate on innovative projects to solve challenging problems 🚀.

💬 Let’s Connect

I’m always happy to chat about:

  • 🤖 AI & ML technologies
  • 🌟 Emerging trends in Data Science
  • 💻 Anything related to technology and coding!

📫 Reach out to me via email: ytaye715@gmail.com 📩

🌐 Stay connected on LinkedIn: LinkedIn 🌟

🔗 Connect with me:

LinkedIn Telegram

💡 Skills:

JavaScript Bootstrap PHP Java Python Pandas NumPy SciPy Matplotlib scikit-learn PyTorch SQLAlchemy PostgreSQL Flask FastAPI Docker

💻 Fun Fact About Me

I turned setbacks into stepping stones 💪, restarting my computer science journey from the ground up 📚. Today, I’m building AI-powered solutions 🚀 to drive impact, spark innovation ⚡, and create meaningful change 🌍!

📊 GitHub Stats:

Yohannes's GitHub stats

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  1. Improved-detection-of-fraud-cases-for-e-commerce-and-bank-transactions Improved-detection-of-fraud-cases-for-e-commerce-and-bank-transactions Public

    The repo provides a comprehensive guide to data preparation, machine learning model training, and interpretation, focusing on credit scoring and fraud detection. It utilizes explainable AI techniqu…

    Jupyter Notebook 2

  2. Telegram-based-e-commerce-model Telegram-based-e-commerce-model Public

    This project extracts named entities like locations, prices, and products from Telegram messages. It involves data scraping, preprocessing, tokenization, and labeling using both pre-trained models …

    Jupyter Notebook 2 1

  3. SMS-messages-classificaiton-with-PCN SMS-messages-classificaiton-with-PCN Public

    This project implemented a Predictive Coding Network (PCN) for SMS spam classification using the ngclearn library. Inspired by neural processing, the PCN, with two hidden layers, was trained on pre…

    Jupyter Notebook 1

  4. Recommedation-System-With-BERT Recommedation-System-With-BERT Public

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  5. Reinforcement-Learning Reinforcement-Learning Public

    Reinforcement Learning with openAI gym/gymnasium, MineRL and Unity

    Python