Welcome to the Machine Learning Introduction course! 🚀 This is your starting point to explore the fascinating world of algorithms that enable computers to learn from data. Here's what you'll cover:

📋 Course Outline

  • Basics of Machine Learning 🧠
    Understand supervised vs. unsupervised learning, and key concepts like training data, models, and predictions.

    machine_learning_concepts

  • Popular Algorithms 📊
    Dive into linear regression, decision trees, and neural networks.

    neural_networks

  • Hands-On Practice 💻
    Build your first model using Python and libraries like scikit-learn.

    python_machine_learning

For deeper exploration, check out our course on data science fundamentals. 🌐
Let us know if you'd like to advance to deep learning! 🤖