TingNie / Coursera-ML-using-matlab-pythonLinks
coursera吴恩达机器学习课程作业自写Python版本+Matlab原版
☆934Updated 7 years ago
Alternatives and similar repositories for Coursera-ML-using-matlab-python
Users that are interested in Coursera-ML-using-matlab-python are comparing it to the libraries listed below
Sorting:
- 机器学习-Coursera-吴恩达- python+Matlab代码实现☆200Updated 3 years ago
- 个人使用jupyter notebook整理的peter的《机器学习实战》代码,使其更有层次感,更加连贯,也加了一些自己的修改,以及注释☆304Updated 7 years ago
- Coursera Machine Learning (Andrew Ng) --- python code☆127Updated 8 years ago
- 《机器学习实战》的python3源码☆1,330Updated 5 years ago
- 吴恩达(Andrew Ng)在coursera的机器学习课程习题的python实现☆129Updated 6 years ago
- ⚡️⚡️⚡️《机器学习实战》代码(基于Python3)🚀☆954Updated 5 years ago
- ☆280Updated 7 years ago
- 吴恩达《深度学习》学习笔记(xmind)、代码视频讲解☆459Updated 5 years ago
- 《统计学习 方法》笔记-基于Python算法实现☆2,121Updated 7 years ago
- Data&code for Machine-Learning-in-Action by Python3 | 《机器学习实战》数据与Python3源码☆418Updated 2 years ago
- 深度学习笔记☆806Updated 4 years ago
- Python 进阶学习笔记☆500Updated 4 years ago
- 机器学习初学者公众号作品☆2,264Updated 4 years ago
- Coursera吴恩达机器学习课程笔记及资源整理☆528Updated last year
- 微专业: 吴恩达 深度学习工程师 作业☆205Updated 7 years ago
- 周志华-机器学习☆279Updated 5 years ago
- NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业☆876Updated 6 years ago
- 机器学习算法项目☆974Updated 3 years ago
- 吴恩达机器学习算法Python实现,附详细的代码注释。☆82Updated 4 years ago
- The assignment code for Coursera by Ng's ML course☆65Updated 3 years ago
- 《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book☆99Updated 6 years ago
- ☆418Updated 4 years ago
- 机器学习、深度学习、自然语言处理、计算机视觉、各种算法等AI领域相关技术的路线、教程、干货分享。笔记有:机器学习实战、剑指Offer、cs231n、cs131、吴恩达机器学习、cs224n、python自然语言处理实战☆618Updated 4 years ago
- 吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course☆1,023Updated 3 years ago
- Andrew Ng's machine learning programming assignments on Coursera☆111Updated 6 years ago
- 吴恩达机器学习公开课作业中文版本以及Python实现☆81Updated 6 years ago
- Implementation of algorithms introduced in CS229.☆387Updated 3 years ago
- note for the book Python for Data Analysis: Data Wrangling with Pandas, Numpy, and IPython by Wes McKinney☆215Updated 5 years ago
- 深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系sc…☆169Updated 6 years ago
- 吴恩达机器学习课程的讲义,欢迎大家一起学习☆1,472Updated 6 years ago