Long618 / Machine-Learning-WULinks
☆58Updated 5 years ago
Alternatives and similar repositories for Machine-Learning-WU
Users that are interested in Machine-Learning-WU are comparing it to the libraries listed below
Sorting:
- coursera中Andrew Ng的meachine learning的所有编程测验的原文件☆584Updated 7 years ago
- 吴恩达机器学习作业☆671Updated last year
- 吴恩达机器学习课程的讲义,欢迎大家一起学习☆1,504Updated 6 years ago
- Matlab Coding homework for Machine Learning☆2,003Updated 5 years ago
- 深度学习 李宏毅 2021 学习笔记☆1,627Updated 2 years ago
- ⚡️⚡️⚡️《机器学习实战》代码(基于Python3)🚀☆966Updated 5 years ago
- 《机器学习》(西瓜书)代码实战☆914Updated 6 months ago
- self-learning☆589Updated 4 years ago
- 浙江大学机器学习☆227Updated 4 years ago
- Pytorch_Learning_Notes☆103Updated 8 months ago
- Exercises answers to the book "machine-learning" written by Zhou Zhihua。周志华《机器学习》课后习题,个人解答。各算法都拿numpy和pandas实现了一遍☆1,639Updated 3 years ago
- 深度学习的实战项目☆345Updated 5 years ago
- 李宏毅2021机器学习深度学习笔记PPT作业☆589Updated 4 years ago
- 【PyTorch】手把手教你跑通第一个神经网络☆271Updated 2 years ago
- ✔️李沐 【动手学深度学习】课程学习笔记:使用pycharm编程,基于pytorch框架实现。☆2,911Updated 2 years ago
- Python 基于BP神经网络实现鸢尾花的分类☆365Updated 5 years ago
- note for the book Python for Data Analysis: Data Wrangling with Pandas, Numpy, and IPython by Wes McKinney☆222Updated 5 years ago
- 吴恩达机器学习课程的资源、作业代码以及学习笔记☆54Updated 5 years ago
- 利用sklearn实现机器学习算法:线性回归、逻辑回归、决策树、随机森林、SVM等☆185Updated 5 years ago
- 本项目对中文版《动手学深度学习》中的代码进行了PyTorch实现并整理为PDF版本供下载☆615Updated 4 years ago
- Gitbook Address: https://app.gitbook.com/@nlpgroup/s/nlpnote/☆158Updated 4 years ago
- 西瓜书,课后习题☆138Updated 4 years ago
- 机器学习算法项目☆990Updated 4 years ago
- 纯python实现机器学习算法,非套用sk-learn☆107Updated 3 years ago
- coursera吴恩达机器学习课程作业自写Python版本+Matlab原版☆944Updated 7 years ago
- deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link☆1,713Updated 7 years ago
- 吴恩达机器学习算法Python实现,附详细的代码注释。☆85Updated 5 years ago
- 吴恩达深度学习课程课后编程作业☆194Updated 5 years ago
- 吴恩达机器学习公开课作业中文版本以及Python实现☆83Updated 6 years ago
- Pytorch、Scikit-learn实现多种分类方法,包括逻辑回归(Logistic Regression)、多层感知机(MLP)、支持向量机(SVM)、K近邻(KNN)、CNN、RNN,极简代码适合新手小白入门,附英文实验报告(ACM模板)☆435Updated 5 years ago