Welcome to the Machine Learning resources page! Here you'll find curated materials to help you dive into the world of ML. 🚀

📚 Essential Guides

🔧 Popular Tools & Frameworks

  • Scikit-learn

    scikit_learn
    [Official Documentation](https://scikit-learn.org/stable/) for classical ML algorithms.
  • TensorFlow

    tensorflow
    Google's open-source library for deep learning. [Get started here](/en/resources/ml/tensorflow)
  • PyTorch

    pytorch
    Facebook's framework for dynamic neural networks. [Tutorials link](/en/resources/ml/pytorch)

🧠 Learning Pathways

  1. Math Foundations for ML
    Linear algebra, calculus, and statistics essentials.

    math_foundations_ml
  2. Project Ideas
    Hands-on examples to practice your skills.

    project_ideas_ml
  3. Career Resources
    Interview prep and industry trends.

    career_resources_ml