Pinned Repositories
-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
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
analyzing-us-census-data-in-python
course-nlp
A Code-First Introduction to NLP course
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.
FIN-514-Final-Project--dispersion-trade
Used dispersion trade method and Vega-neutral strategy to construct a portfolio using GARCH and DCC models; measured the realized performance of the portfolio based on simulated VaR, Expected Shortfall and Greeks.
machine-learning-self-learning-code
I am learning machine learning all by myself. And I really want to record every machine-learning algorithm I have learned by uploading my self-made python code for each algorithm. Hopefully I can enjoy myself through the study and help myself achieve the goal of becoming a great data scientist!
statistical-thinking-in-python
The crucial last step of a data analysis pipeline hinges on the principles of statistical inference. With the power of Python-based tools, I can rapidly get up to speed and begin thinking statistically so that I can draw clear, succinct conclusions from the data I have acquired.
Web-Scraping-With-Python
I am new to data science. But I am really skillful in writing Python Codes. This time, I try to use limited python libraries to scrape news/information from multiple financial news websites. Please Enjoy!
RuixinZhangMarty's Repositories
RuixinZhangMarty/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
RuixinZhangMarty/daily-paper-computer-vision
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
RuixinZhangMarty/deeplearning-models
A collection of various deep learning architectures, models, and tips
RuixinZhangMarty/JavaGuide
【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
RuixinZhangMarty/datascience
Curated list of Python resources for data science.
RuixinZhangMarty/machine-learning-course
:speech_balloon: Machine Learning Course with Python
RuixinZhangMarty/Python
All Algorithms implemented in Python
RuixinZhangMarty/scrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.
RuixinZhangMarty/azure-cli
Command-line tools for Azure.
RuixinZhangMarty/Python-100-Days
Python - 100天从新手到大师
RuixinZhangMarty/AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
RuixinZhangMarty/amis
一种基于特定 JSON 格式生成 MIS 页面的工具
RuixinZhangMarty/keras
Deep Learning for humans
RuixinZhangMarty/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
RuixinZhangMarty/pumpkin-book
《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book
RuixinZhangMarty/PSpider
简单易用的Python爬虫框架,QQ交流群:597510560
RuixinZhangMarty/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
RuixinZhangMarty/awesome-algorithm
刷题训练指南
RuixinZhangMarty/stanford-cs-221-artificial-intelligence
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
RuixinZhangMarty/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。
RuixinZhangMarty/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
RuixinZhangMarty/awesome-algorithms
A curated list of awesome places to learn and/or practice algorithms.
RuixinZhangMarty/algorithms
Minimal examples of data structures and algorithms in Python
RuixinZhangMarty/PyTorch-Tutorial
Build your neural network easy and fast
RuixinZhangMarty/awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
RuixinZhangMarty/TensorFlow-Course
Simple and ready-to-use tutorials for TensorFlow
RuixinZhangMarty/lihang-code
《统计学习方法》的代码实现
RuixinZhangMarty/deeplearning_ai_books
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
RuixinZhangMarty/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
RuixinZhangMarty/DataSciencePython
common data analysis and machine learning tasks using python