益达规则仓库

整理知识图谱相关学习资料

ApacheCN 开源组织：公告、介绍、成员、活动、交流方式

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

The "Python Machine Learning (1st edition)" book code repository and info resource

ApacheCN 数据结构与算法译文集

机器学习/知识图谱/NLP

Apache ECharts is a powerful, interactive charting and data visualization library for browser

XGBoost 中文文档

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Automatic SQL injection and database takeover tool

Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

Apache Spark 官方文档中文版

📖 [译] 面向机器学习的特征工程

Python数据科学入门 样例代码

Interview = 简历指南 + 算法题 + 八股文 + 源码分析

📖 [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】

Source code for the "Learning scikit-learn: Machine Learning in Python"

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

吴恩达老师的机器学习课程个人笔记

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

A curated list of awesome Machine Learning frameworks, libraries and software.

Source Code for the book: Machine Learning in Action published by Manning

scikit-learn: machine learning in Python

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

A mindmap summarising Deep Learning concepts.

PRML algorithms implemented in Python

Scrapy, a fast high-level web crawling & scraping framework for Python.

机器学习资源大全中文版，包括机器学习领域的框架、库以及软件