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Never Give Up
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Never Give Up
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Achievement: Pull SharkAchievement: Pair Extraordinaire

Achievements

Achievement: Pull SharkAchievement: Pair Extraordinaire

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WalidAlsafadi/README.md

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Walid Alsafadi

AI & Data Science Student

Hello! I'm Walid Alsafadi, a student of Data Science and Artificial Intelligence, specializing in machine learning, deep learning, natural language processing (NLP), and business intelligence. My journey is driven by a passion for developing innovative AI solutions and exploring cutting-edge fields such as computer vision, large language models (LLMs), and cloud computing.

🛠️ Skills & Expertise

  • Programming Languages: Python , HTML , JavaScript , CSS , C++

  • Frameworks & Libraries: name , name , name , name , name , name , name , name , name , name

  • Key Areas:

    • Machine learning: Regression, classification, clustering
    • Deep learning: Neural networks, time series forecasting
    • NLP: Text classification, sentiment analysis
    • Business intelligence: Dashboarding and analytics tools

  • Cloud Platforms: name , name

🔬 Interests

I am particularly focused on:

  • Developing AI-driven applications for real-world challenges
  • Leveraging API integrations to enhance NLP systems
  • Preparing systems for seamless integration with large language models
  • Exploring computer vision for innovative problem-solving
  • Advancing scalability with cloud computing

📈 Stats & Activity

GitHub Stats

🌐 Connect with Me

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  1. Store-Sales-TS-Forecasting Store-Sales-TS-Forecasting Public

    Use machine learning to predict grocery sales

    Jupyter Notebook 1

  2. TwitterSentiment-Llama3 TwitterSentiment-Llama3 Public

    Analyzes sentiment from tweets related to Gaza using GroqCloud’s Llama-3 LLM model and Selenium for data collection. This project aims to provide insights into public sentiment and emotional tone r…

    Jupyter Notebook 2

  3. BBC_News BBC_News Public

    Using BBC News data to analyze the sentiment of news, from title and description.

    Jupyter Notebook 3

  4. House-Prices House-Prices Public

    Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. With 79 explanatory variables descri…

    Jupyter Notebook 2

  5. Titanic-Disaster Titanic-Disaster Public

    In this challenge, we ask you to build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic c…

    Jupyter Notebook 1

  6. UFO-Sighting UFO-Sighting Public

    UFO Sightings cross the world!

    Jupyter Notebook 2