Python Machine Learning Tutorials

You want to build real machine learning systems in Python. These tutorials help you prep data with pandas and NumPy, train models with scikit-learn, TensorFlow, and PyTorch, and tackle computer vision with OpenCV and speech recognition tasks.

You practice core workflows like feature engineering, cross-validation, evaluation metrics, and pipelines so your models generalize. Use embeddings and transformers with a vector store to build RAG and search.

Browse all resources below, or commit to a guided Learning Path with progress tracking: