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A free course for people with some coding experience who want to learn how to apply deep learning and machine learning to practical problems. It includes 9 lessons of around 90 minutes each, covering computer vision, natural language processing, tabular analysis, and collaborative filtering, plus building and training models, random forests, deployment, and use of PyTorch, fastai and Hugging Face.
An open-source resource for learning data structures and algorithms through implementations in various programming languages. The site covers programming languages including Python, Java, JavaScript, Go, Rust, and C++, and organizes algorithms into categories such as sorting, searching, and graph algorithms. It also provides guidance on contributing implementations.
Sourcecodester publishes free source code projects and tutorials across languages including Python, PHP, Visual Basic, C#, Java, JavaScript, C/C++, HTML/CSS and SQL. Posts present complete project source code with descriptions, such as an online food ordering system built with PHP and MySQL or a drug recommendation system using machine learning, PHP and MySQL.
