Welcome to the Machine Learning Resources section! Here, you'll find curated tools, tutorials, and materials to enhance your journey in AI and machine learning. 🌟
Learning Resources 🧠
- Kaggle – Explore datasets, participate in competitions, and learn from global ML practitioners. 📊
- TensorFlow – Google's open-source framework for building and training ML models. 🧠
- PyTorch – Facebook's deep learning platform with flexible neural network capabilities. 🤖
Tools & Frameworks 🛠️
- Scikit-learn – A Python library for classical machine learning algorithms.
- Jupyter Notebook – Interactive coding environment for data analysis and ML experimentation.
Books & Courses 📘
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow – A practical guide to ML concepts and applications.
- Andrew Ng's Coursera Course – Learn from one of the pioneers in AI.
For more foundational knowledge, check out our Machine Learning Overview guide. 📚