Stars
Website containing illustrations about Machine Learning theory!
李航《统计学习方法》书的每一章节核心提炼以及Python代码实现，可以直接运行在Anaconda的Jupyter里面，从即日起抽时间不断更新，详见Readme.
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version in translation
Project for Insight Data Science
计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
My Solutions to "A Collection of Data Science Take-Home Challenges" by Giulio Palombo.
The interactive graphing library for Python ✨
🌟【Numpy 手写实现】SVM 支持向量机 | KNN K近邻 | Kmeans | Logistic Regression 逻辑回归 | Maximum Entropy 最大熵 | Naive Bayes 朴素贝叶斯 | Perception 感知机 | Decision Tree 决策树 | Random Forest 随机森林 | DBDT | GDA 高斯判别分析 | PCA 主成…
============ Take a look here if you are interested ============ Summary of professional & academic projects repository
Mix Market Model with segmentation, promotion and recommender strategy for a supermarket chain
This is the notes of the way of machine learning study. You may find something useful in it.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
计算机类常用电子书整理，并且附带下载链接，包括Java，Python，Linux，Go，C，C++，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端等书籍
My solution to the book <A collection of Data Science Take-home Challenges>
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译
👩🏿💻👨🏾💻👩🏼💻👨🏽💻👩🏻💻中国 AI 开发者项目列表 -- 分享大家都在做什么
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。