Machine-Learning-Specialization-Coursera 是用 Jupyter Notebook 编写的学习资料,用于系统学习与查阅。
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课…
目前累计 1.3k star、617 fork,主要语言为 Jupyter Notebook,项目始于 2017 年。最近状态:已有一段时间未更新。适合:想补齐某块知识的开发者。
中文介绍优先采用本站人工维护条目;无维护条目时依据 GitHub 公开字段(语言、主题、星标、提交时间)自动生成,未经项目方确认,不构成选型结论。liuyubobobo/Play-with-Machine-Learning-Algorithms 是一个以 Jupyter Notebook 为主的开源项目,目前累计 1.3k star、617 fork,较长时间未更新。主要方向:imooc、jupyter-notebooks、machine-learning、machine-learning-algorithms、mooc。
依据 GitHub 公开字段(语言、主题、星标、提交时间)自动生成,未经人工逐项核实。Machine-Learning-Specialization-Coursera 是用 Jupyter Notebook 编写的学习资料,用于系统学习与查阅。
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
AIMLInterviews 是用 Jupyter Notebook 编写的学习资料,用于系统学习与查阅,主打功能完整。
A Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more
mit-deep-learning 是用 Jupyter Notebook 编写的学习资料,用于系统学习与查阅。
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
python-machine-learning-book 是用 Jupyter Notebook 编写的 AI 工具,用于人工智能方向的建模与推理。
The "Python Machine Learning (1st edition)" book code repository and info resource
homemade-machine-learning 是用 Jupyter Notebook 编写的学习资料,用于系统学习与查阅。
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
py 是用 Jupyter Notebook 编写的学习资料,用于系统学习与查阅。
Repository to store sample python programs for python learning
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