📘 Machine Learning Resources | Courses & Tutorials

Welcome to the Machine Learning Resources page! Here's a curated list of materials to help you dive into the world of machine learning:

🌱 Beginner-Friendly Courses

• Python for Machine Learning Basics 📚 Start with foundational Python libraries like Pandas and NumPy.
• Intro to Machine Learning on Coursera 🌐 A popular course by Andrew Ng.

🛠️ Essential Toolkits

• TensorFlow 🤖 [Explore TensorFlow Tutorials](/en/resources/TensorFlow_Guides) for deep learning projects.
• PyTorch 🧠 Ideal for dynamic neural networks—check out our [PyTorch Crash Course](/en/courses/PyTorch_Crash_Course).

📚 Recommended Books

• Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 📘 A practical guide by Aurélien Géron.
• Pattern Recognition and Machine Learning 🧩
  Read the full text here for advanced concepts.

💻 Hands-On Projects

• Build a Simple MNIST Classifier 🧪
  Practice with TensorFlow on our GitHub repo.
• OpenCV for Computer Vision 📸 Combine ML with image processing techniques.

Need more guidance? Visit our main resources page for additional materials! 🌟