AceCoooool / ML-Andrew-NgLinks
Coursera Machine Learning (Andrew Ng) --- python code
☆127Updated 8 years ago
Alternatives and similar repositories for ML-Andrew-Ng
Users that are interested in ML-Andrew-Ng are comparing it to the libraries listed below
Sorting:
- 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☆305Updated 7 years ago
- coursera吴恩达机器学习课程作业自写Python版本+Matlab原版☆939Updated 7 years ago
- 用python和sklearn两种方法实现李航《统计学习方法》中的算法☆340Updated 7 years ago
- deeplearning.ai-coursera,by Andrew Ng☆40Updated 7 years ago
- Data&code for Machine-Learning-in-Action by Python3 | 《机器学习实战》数据与Python3源码☆417Updated 3 years ago
- 深度学习笔记☆809Updated 4 years ago
- 吴恩达机器学习coursera课程,学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng☆263Updated 5 years ago
- 吴恩达(Andrew Ng)在coursera的机器学习课程习题的python实现☆130Updated 6 years ago
- 微专业: 吴恩达 深度学习工程师 作业☆206Updated 7 years ago
- 《机器学习实战》的python3源码☆1,332Updated 5 years ago
- 机器学习算法 基于西瓜书以及《统计学习方法》,当然包括DL。☆296Updated 6 years ago
- 机器学习-Coursera-吴恩达- python+Matlab代码实现☆203Updated 3 years ago
- 吴恩达《深度学习》学习笔记(xmind)、代码视频讲解☆462Updated 5 years ago
- ☆419Updated 4 years ago
- ☆279Updated 7 years ago
- ✒统计学习方法第二版(李航) 学习笔记、代码实现、课后习题☆363Updated 6 years ago
- Machine Learning code in Python3.x. (机器学习实战 py3代码整理)Some notes about the practices:(for reference only)☆267Updated 7 years ago
- 统计学习方法训练营课程作业及答案,视频笔记在线阅读地址:https://relph1119.github.io/statistical-learning-method-camp☆196Updated 2 years ago
- 周志华《机器学习》☆93Updated 7 years ago
- Implementation of algorithms introduced in CS229.☆388Updated 3 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☆1,025Updated 3 years ago
- 这是一个完整的,端到端的机器学习项目,非常适合有一定基础后拿来练习,以提高对完整机器学习项目的认识☆390Updated 6 years ago
- Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University☆545Updated 6 years ago
- ☆110Updated 7 years ago
- Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University☆154Updated 2 years ago
- 通过阅读网上的资料代码,进行自我加工,努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯☆732Updated 5 years ago
- 周志华《机器学习》阅读笔记☆417Updated 3 years ago
- 吴恩达机器学习公开课作业中文版本以及Python实现☆82Updated 6 years ago
- 周志华-机器学习☆280Updated 5 years ago
- B站上炼数成金的公开课笔记☆365Updated 6 years ago