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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.
The Algorithms - C++ is a repository of open-source implementations of various algorithms in C++, released under the MIT License. It covers topics including computer science, mathematics, statistics, data science, machine learning and engineering, and is intended as a learning resource for educators and students. The documentation is generated from the source code.
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.
