周志华-机器学习
☆287Apr 16, 2020Updated 6 years ago
Alternatives and similar repositories for MachineLearning-WatermelonBook
Users that are interested in MachineLearning-WatermelonBook are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 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☆197Nov 22, 2022Updated 3 years ago
- Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University☆154Mar 18, 2023Updated 3 years ago
- 周志华《机器学习》☆91Mar 15, 2018Updated 8 years ago
- 周志华《机器学习》手推笔记☆3,780Mar 13, 2021Updated 5 years ago
- 周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！☆7,764Feb 26, 2022Updated 4 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- 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☆1,678Oct 2, 2022Updated 3 years ago
- 机器学习实战☆33Jul 11, 2019Updated 7 years ago
- 《Python机器学习实践指南》代码和笔记☆12Aug 26, 2020Updated 5 years ago
- 南瓜书：《机器学习》（西瓜书）公式详解☆25,980Apr 22, 2026Updated 3 months ago
- 机器学习方法习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual☆2,074May 8, 2026Updated 3 months ago
- 《机器学习实战》的python3源码☆1,343Aug 2, 2020Updated 6 years ago
- 龙曲良《TensorFlow深度学习》学习笔记及代码，采用TensorFlow2.0.0版本☆177Feb 16, 2023Updated 3 years ago
- 基于 CNN 与词向量的句子相似度度量（NLP）☆14Feb 21, 2023Updated 3 years ago
- 机器学习笔记，来源于：李航的《统计学习方法》 周志华的《机器学习》 Peter Harrington 的《机器学习实战》 以及Python的 Scikit-Learn 开源库。☆43May 14, 2016Updated 10 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- 手写实现李航《统计学习方法》书中全部算法☆11,619Nov 25, 2025Updated 8 months ago
- 从零开始学习机器学习☆12Jul 23, 2021Updated 5 years ago
- Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]☆6,308Aug 5, 2023Updated 3 years ago
- 《统计学习方法》的代码实现☆19,591Aug 22, 2023Updated 2 years ago
- 收集高质量值得一读的书籍 📚 在线阅读👉☆37Apr 19, 2020Updated 6 years ago
- 轉換好的 Albert 中文模型 (for pytorch-transformers)☆19Mar 6, 2020Updated 6 years ago
- “莱斯杯”全国第一届“军事智能·机器阅读”挑战赛[初赛top2版]☆11Jan 15, 2019Updated 7 years ago
- 吴恩达老师的机器学习课程个人笔记☆37,538Aug 25, 2025Updated 11 months ago
- 情感分析三分类☆31Aug 2, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Spark ML Tutorial and Examples for Beginners☆18Mar 26, 2018Updated 8 years ago
- Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University☆544Mar 20, 2019Updated 7 years ago
- [ICCV 2015] Low-rank Tensor constrained Multiview Subspace Clustering☆13Oct 24, 2019Updated 6 years ago
- 机器学习笔记和算法的python代码实现，学习的课程包括Andrew Ng 和林轩田的Machine Learning的课程，以及周志华的《机器学习》和李航的《统计学习方法》等电子书。☆17Mar 8, 2018Updated 8 years ago
- 深度之眼《Pytorch框架训练营》☆23Dec 8, 2022Updated 3 years ago
- 机器学习算法python实现☆8,567May 20, 2024Updated 2 years ago
- 《统计学习方法》笔记-基于Python算法实现☆2,173Jan 9, 2018Updated 8 years ago
- [译] UCB DATA8 计算与推断思维☆13Mar 4, 2018Updated 8 years ago
- 深度学习课程自己所做答案☆10Apr 23, 2018Updated 8 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。☆863Feb 9, 2021Updated 5 years ago
- sodic2021 法律咨询智能问答 Baseline 线上35+☆17Jun 1, 2021Updated 5 years ago
- 电影、电视剧、动漫自动PT下载、聚合搜索、智能识别重命名、硬链接媒体库整理、PT保种签到等☆22Feb 13, 2023Updated 3 years ago
- 一个自动每天发微博的脚本☆20Oct 24, 2019Updated 6 years ago
- 《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases☆16,724Nov 23, 2025Updated 8 months ago
- A practical feature engineering handbook☆331Jul 18, 2020Updated 6 years ago
- 深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.☆13,216Aug 30, 2021Updated 4 years ago