ruixinzhangmarty Goto Github PK

-a-case-study-in-bokeh

I'll try to build a more sophisticated Bokeh data exploration application from the ground up based on the famous Gapminder dataset

120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

abu

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-job-notes

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

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

algorithm-visualizer

:fireworks:Interactive Online Platform that Visualizes Algorithms from Code

algorithm_interview_notes-chinese

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

algorithms

Minimal examples of data structures and algorithms in Python

amis

一种基于特定 JSON 格式生成 MIS 页面的工具

analyzing-us-census-data-in-python

anti-anti-spider

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）

awesome-algorithm

刷题训练指南

awesome-algorithms

A curated list of awesome places to learn and/or practice algorithms.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-java-leetcode

:crown: LeetCode of algorithms with java solution(updating).

awesome-javascript-cn

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

awesome-machine-learning-cn

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

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-programming-books

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

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-python-cn

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。

awesome-pytorch-chinese

【干货】史上最全的PyTorch学习资源汇总

azure-cli

Command-line tools for Azure.

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

content

Official content for Harvard CS109

course-nlp

A Code-First Introduction to NLP course

coursera-applied-data-science-with-python

Repository for coursera specialization Applied Data Science with Python by University of Michigan

coursera-data-mining

Data Mining - University of Illinois at Urbana-Champaign

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

coursera-uiuc-applying-data-analytics-in-finance

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.