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
☆700Aug 5, 2019Updated 6 years ago
Alternatives and similar repositories for Machine-Learning-With-Python
Users that are interested in Machine-Learning-With-Python are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 机器学习算法python实现☆8,534May 20, 2024Updated 2 years ago
- 基于豆瓣电影数☆29Nov 26, 2019Updated 6 years ago
- Python机器学习，机器学习入门首选。☆208Nov 30, 2018Updated 7 years ago
- 机器学习笔记☆1,061Jan 18, 2017Updated 9 years ago
- 常用机器学习算法实践笔记，持续更新！☆173Feb 6, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Tensorflow实战学习笔记、代码、机器学习进阶系列☆1,139Sep 30, 2020Updated 5 years ago
- AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2☆42,341Nov 12, 2024Updated last year
- 本项目记录我学习hadoop和spark等开源框架的代码，因为也是最近才用github，之前都是荒废状态，故部分都是是之前写好的，现在上传至github☆85Nov 25, 2017Updated 8 years ago
- Natural Language Processing algorithm including TextClassification, sentiment analysis, TextRank, LDA and so on☆12Mar 23, 2017Updated 9 years ago
- 图书推荐系统，基于商品的协同过滤算法实现☆326May 20, 2020Updated 6 years ago
- 机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归☆10,332Jul 12, 2024Updated last year
- 机器学习、深度学习、NLP实战项目☆153Feb 26, 2018Updated 8 years ago
- 《机器学习实战》的python3源码☆1,343Aug 2, 2020Updated 5 years ago
- tensorflow实战练习，包括强化学习、推荐系统、nlp等☆7,009Sep 24, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [译] 面向机器学习的特征工程☆2,558Aug 25, 2023Updated 2 years ago
- MapReduce scripts written in Python for Hadoop Streaming☆10Jun 10, 2014Updated 12 years ago
- [译] UCB DS100 数据科学的原理与技巧☆116Jan 2, 2021Updated 5 years ago
- [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】☆3,780Aug 9, 2021Updated 4 years ago
- 算法/数据结构/Python/剑指offer/机器学习/leetcode☆4,082Jan 19, 2020Updated 6 years ago
- Python-Machine-Learning-Algorithm☆391Feb 27, 2019Updated 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。☆299Aug 17, 2019Updated 6 years ago
- Interview = 简历指南 + 算法题 + 八股文 + 源码分析☆8,957Oct 20, 2023Updated 2 years ago
- [推荐系统] Based on the scoring data set, the recommendation system is built with FM and LR as the core(基于评分数据集，构建以FM和LR为核心的推荐系统).☆297Dec 30, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Deep Learning Book Chinese Translation☆37,290Dec 3, 2019Updated 6 years ago
- 机器学习相关教程☆12,959Dec 22, 2020Updated 5 years ago
- Data competition Top Solution 数据竞赛top解决方案开源整理☆3,372Nov 13, 2020Updated 5 years ago
- 利用flask搭建的一个简单的个人博客网站☆11Oct 15, 2016Updated 9 years ago
- 《推荐系统开发实战》代码及勘误☆60Mar 20, 2020Updated 6 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…☆57,454Jun 26, 2024Updated 2 years ago
- 推荐系统实例☆791Jul 2, 2018Updated 7 years ago
- 机器学习精简入门教程☆843Jul 18, 2022Updated 3 years ago
- go的一些高级技巧☆13Sep 18, 2019Updated 6 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- 此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。☆17,741Jan 9, 2026Updated 5 months ago
- 《统计学习方法》的代码实现☆19,588Aug 22, 2023Updated 2 years ago
- 这是本人第一次数据算法比赛实录。主要整理记录2017年CCF大数据与计算智能竞赛使用的模型和实现代码，选择了基于主题的文本情感分析赛题。采用情感词典+自定义规则完成比赛，成绩：136/796。☆49Feb 21, 2018Updated 8 years ago
- 致力于将李航博士《统计学习方法》一书中所有算法实现一遍☆5,827Apr 29, 2019Updated 7 years ago
- 使用 Node.js 开发的项目目录管理工具，能够将项目内文件结构自动映射并生成为 README.md | A project directory management tool, which helps you to map the file structure insi…☆12Aug 10, 2018Updated 7 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！☆7,745Feb 26, 2022Updated 4 years ago
- 人工智能工程师直通车第三期 实战项目:广告点击率预测（CTR）。预测用户浏览给定网页的广告点击率，提高广告投放精准度。☆21Jul 10, 2018Updated 7 years ago