📊 ML Basics

DataTalksClub's free 4-month ML Zoomcamp — classical ML to deployment. Project-based. {description}

Goku Mohandas's Made With ML — design, develop, deploy production ML systems. Excellent MLOps resource. {description}

Free ML course on Great Learning Academy — supervised, unsupervised, project. {description}

Great Learning Academy's free AI for Beginners — short modules, free certificate. {description}

IBM Cognitive Class's ML with Python course — scikit-learn, supervised, unsupervised, deep learning intro. {description}

Nicholas Renotte's project-based AI tutorials — end-to-end builds for portfolios. {description}

Free short clips and full lectures from Andrew Ng's DeepLearning.AI team — companion to their courses. {description}

University of Nottingham's Computerphile channel — short, accessible explanations of AI/ML concepts. {description}

UW Madison Prof. Sebastian Raschka's full ML + DL course with PyTorch — beautifully taught. {description}

Sentdex's classic Python ML tutorial series — algorithms, scikit-learn, projects. {description}