What Will You Learn on Deep-ML?

• Machine Learning Fundamentals — Master core ML concepts and algorithms including regression, classification, clustering, and dimensionality reduction.
• Deep Neural Networks — Explore advanced neural network architectures including CNNs, RNNs, transformers, and attention mechanisms.
• Computer Vision — Unlock the power of visual data analysis with image classification, object detection, and segmentation problems.
• Natural Language Processing — Harness the potential of language in AI with tokenization, embeddings, and sequence model challenges.

Why Deep-ML?

• Constantly updating problems — Our open source community is always adding new ML challenges.
• Problems made by professionals — Machine learning scientists and engineers create all problems.
• Choice of learning — Learn Linear Algebra, Machine Learning, Deep Learning, NLP, and Computer Vision.
• Free to use — Practice as much as you want, all problems are free.
• Community Support — Connect with peers and mentors for guidance and collaboration.
• Designed for career growth — Problems designed to help you prepare for ML interviews and grow in your career.

How Deep-ML Works

Deep-ML is a free, open-source machine learning practice platform. Browse ML coding challenges by difficulty and category. Write Python solutions in the browser-based code editor. Get instant feedback against test cases. Track your progress across collections and earn badges. Work with real datasets in labs. Learn through interactive articles with math visualizations.