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Source channel @githubtrending · Post #14865 · Jun 25
#python#data_mining#data_science#deep_learning#deep_reinforcement_learning#genetic_algorithm#machine_learning#machine_learning_from_scratch This project offers Python code for many basic machine learning models and algorithms built from scratch, focusing on clear, understandable implementations rather than speed or optimization. You can learn how these algorithms work inside by running examples like polynomial regression, convolutional neural networks, clustering, and genetic algorithms. This hands-on approach helps you deeply understand machine learning concepts and build your own custom models. Using Python makes it easier because of its simple, readable code and flexibility, letting you quickly test and modify algorithms. This can improve your skills and confidence in machine learning development. https://github.com/eriklindernoren/ML-From-Scratch
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@djangoproject · Post #462 · 10/10/2017, 01:59 PM
http://www.kdnuggets.com/2017/09/essential-data-science-machine-learning-deep-learning-cheat-sheets.html #Cheat_Sheet, #Data_Science, #Deep_Learning, #Machine_Learning, #Neural_Networks, #Probability, #Python, R, #SQL, #Statistics This collection of data science cheat sheets is not a cheat sheet dump, but a curated list of reference materials spanning a number of disciplines and tools