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coursera-ml-py icon coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

hello-algorithm icon hello-algorithm

🌍 针对小白的算法训练 | 包括四部分:①.算法基础 ②.力扣图解 ③.大厂面经 ④.CS_汇总 | 附:1、千本开源电子书 2、百张技术思维导图(项目花了上百小时,希望可以点 star 支持,🌹感谢~)

machine-learning-learning-notes icon machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!

ml-coursera-python-assignments icon ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

ml_notes icon ml_notes

机器学习算法的公式推导以及numpy实现

orange3 icon orange3

🍊 :bar_chart: :bulb: Orange: Interactive data analysis https://orange.biolab.si

statistics-note icon statistics-note

概率论与数理统计笔记(《概率论与数理统计》陈希孺院士、《概率论与数理统计教程》茆诗松教授以及相关资料)

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