liudaizong / watermelon-book-Links
☆24Updated 7 years ago
Alternatives and similar repositories for watermelon-book-
Users that are interested in watermelon-book- are comparing it to the libraries listed below
Sorting:
- 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)☆268Updated 8 years ago
- B站上炼数成金的公开课笔记☆365Updated 6 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
- Data&code for Machine-Learning-in-Action by Python3 | 《机器学习实战》数据与Python3源码☆416Updated 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☆308Updated 8 years ago
- Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University☆546Updated 6 years ago
- 深度学习笔记☆810Updated 5 years ago
- ☆275Updated 7 years ago
- 数据挖掘入门介绍☆295Updated 7 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☆393Updated 7 years ago
- This something about deep learning on Coursera by Andrew Ng☆246Updated 7 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。☆299Updated 6 years ago
- Just a memorandum. It is great if this can give u some help.☆169Updated 2 years ago
- 数据科学/人工智能比赛解决方案汇总☆534Updated 5 years ago
- 吴恩达《深度学习》学习笔记(xmind)、代码视频讲解☆467Updated 5 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☆198Updated 3 years ago
- Deep Learning Interview 深度学习面试题目汇总☆1,113Updated 7 years ago
- ☆110Updated 7 years ago
- 此项目是我在学习《机器学习实战》这本书时的代码记录情况,用python实现,当然也会包括一些其他的机器学习算法,使用Python实现☆701Updated 6 years ago
- the data and ipython notebook of my attempt to solve the kaggle titanic problem☆415Updated 9 years ago
- deeplearning.ai-coursera,by Andrew Ng☆39Updated 7 years ago
- 机器学习过程中所看的书,视频和源码☆856Updated 3 years ago
- 斯坦福机器学习完整 python 实现☆609Updated 8 years ago
- NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业☆880Updated 6 years ago
- Sample code and picture of my blog or project☆137Updated 3 years ago
- 力求囊括主流NLP模型练手项目,不断更新中☆292Updated 5 years ago
- python实现GBDT的回归、二分类以及多分类,将算法流程详情进行展示解读并可视化,庖丁解 牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification ar…☆737Updated 6 years ago
- Python-Machine-Learning-Algorithm☆391Updated 6 years ago
- 讲解常见的机器学习算法☆319Updated 5 years ago
- 用户贷款风险预测☆581Updated 7 years ago