ruixinzhangmarty Goto Github PK
Name: Ruixin Zhang(张瑞昕)
Type: User
Bio: Love coding. Love python. Love Big Data
Location: Champaign, Illinois, United States
Blog: https://www.linkedin.com/in/ruixin-marty-zhang-743035131/
Name: Ruixin Zhang(张瑞昕)
Type: User
Bio: Love coding. Love python. Love Big Data
Location: Champaign, Illinois, United States
Blog: https://www.linkedin.com/in/ruixin-marty-zhang-743035131/
I'll try to build a more sophisticated Bokeh data exploration application from the ground up based on the famous Gapminder dataset
Answers to 120 commonly asked data science interview questions.
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
AI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料)
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Minimal examples of data structures and algorithms in Python
一种基于特定 JSON 格式生成 MIS 页面的工具
越来越多的网站具有反爬虫特性,有的用图片隐藏关键数据,有的使用反人类的验证码,建立反反爬虫的代码仓库,通过与不同特性的网站做斗争(无恶意)提高技术。(欢迎提交难以采集的网站)(因工作原因,项目暂停)
刷题训练指南
A curated list of awesome places to learn and/or practice algorithms.
A curated list of awesome Deep Learning tutorials, projects and communities.
:crown: LeetCode of algorithms with java solution(updating).
JavaScript 资源大全中文版,内容包括:包管理器、加载器、测试框架、运行器、QA、MVC框架和库、模板引擎等
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
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
经典编程书籍大全,涵盖:计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
A curated list of awesome Python frameworks, libraries, software and resources
Python资源大全中文版,包括:Web框架、网络爬虫、模板引擎、数据库、数据可视化、图片处理等,由伯乐在线持续更新。
【干货】史上最全的PyTorch学习资源汇总
Command-line tools for Azure.
Essential Cheat Sheets for deep learning and machine learning researchers
Official content for Harvard CS109
A Code-First Introduction to NLP course
Repository for coursera specialization Applied Data Science with Python by University of Michigan
Data Mining - University of Illinois at Urbana-Champaign
吴恩达老师的机器学习课程个人笔记
Course Description In this course, we will introduce a number of financial analytic techniques. You will learn why, when, and how to apply financial analytics in real-world situations. We will explore techniques to analyze time series data and how to evaluate the risk-reward trade off expounded in modern portfolio theory. While most of the focus will be on the prices, returns, and risks of corporate stocks, the analytical techniques can be leveraged in other domains. Finally, a short introduction to algorithmic trading concludes the course. After completing this course, you should be able to understand time series data, create forecasts, and determine the efficacy of the estimates. Also, you will be able to create a portfolio of assets using actual stock price data while optimizing risk and reward. Understanding financial data is an important skill as an analyst, manager, or consultant. Course Goals and Objectives Upon completion of this course, you should be able to: Understand the forecasting process. Evaluate a forecast. Describe time series data. Perform moving average analysis. Perform exponential smoothing. Develop a Holt-Winters model. Develop an ARIMA model. Understand how to create a portfolio of assets. Understand a basic trading algorithm.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.