Machine Learning with Python

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Learn, Code, and Build Smart with Python – Your Gateway into Machine Learning!

🚀 Ready to dive into the world of Artificial Intelligence?
Join our Hands-On Machine Learning Workshop with Python, where theory meets real-world applications in a simplified and engaging way! Whether you're just getting started or looking to deepen your AI knowledge, this workshop is crafted to empower you with practical skills.

🧠 What to Expect:

  • Introduction to Machine Learning concepts

  • Programming intelligent models using Python

  • Data preprocessing and analysis

  • Real-world project implementation

  • Insights into how NVIDIA accelerates AI innovation

👨‍🏫 Trainers:
Engineer Anas & Engineer Tasneem – AI practitioners with strong technical and training backgrounds.

🗓 Start Date: May 10, 2025
🕒 Schedule: Detailed session timings will be announced soon.

🤝 In partnership with NVIDIA
Experience modern tools and GPU-powered techniques in machine learning!

📍 Location: To be announced (Hybrid or Online)

🎓 Certificate of Completion will be provided to active participants.

💡 Seats are limited – Reserve yours now!


  Date and Time

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  • Start time: 09 May 2025 11:00 PM UTC
  • End time: 15 Jul 2025 01:00 AM UTC
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  • Contact Event Host

  • 📱 WhatsApp group : https://chat.whatsapp.com/Bd8HvF1sor6D9Jiycld4Nn

    Instagram: https://www.instagram.com/ieee_std_iug?igsh=NXEwYnlia2JsNjY4

     

  • Co-sponsored by IEEE Islamic University of Gaza Student Branch
  • Survey: Fill out the survey
  • Starts 03 May 2025 09:00 PM UTC
  • Ends 09 May 2025 09:00 PM UTC
  • No Admission Charge




Agenda

📅 Day 1 – Introduction to Machine Learning

  • What is Machine Learning?

  • Types of ML (Supervised, Unsupervised, Reinforcement)

  • Real-world applications

  • Setting up your Python environment (Jupyter, Anaconda, etc.)

📅 Day 2 – Data Preprocessing and Exploration

  • Cleaning and preparing data using Pandas

  • Data visualization with Matplotlib & Seaborn

  • Hands-on: Explore a dataset and analyze patterns

📅 Day 3 – Building ML Models

  • Introduction to Scikit-learn

  • Training classification and regression models

  • Model evaluation (Accuracy, Confusion Matrix, etc.)

📅 Day 4 – Advanced Topics & Optimization

  • Overfitting and underfitting

  • Cross-validation and hyperparameter tuning

  • Hands-on: Improve model performance

📅 Day 5 – Final Project & NVIDIA Tools

  • Overview of GPU acceleration and NVIDIA AI tools

  • Group project: Build your own ML model

  • Project presentations & peer feedback

  • Certificate distribution & closing remarks

🕒 Time: 2 hours per session (exact times to be announced)


For more info: https://www.instagram.com/ieee_std_iug?igsh=NXEwYnlia2JsNjY4