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Javascript and Python libraries for A/B test analysis
Anomaly Detection with R
The backtest package provides facilities for exploring portfolio-based conjectures about financial instruments (stocks, bonds, swaps, options, et cetera).
Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory
R Package for UIUC Dalling Lab
The objective of the project is to use large scale of data about brands and their respective user activity from social media networks, analyze the data to group brands based on user activities and use community detection algorithms for identifying similar brands, predict brand recommendations, brand trends, brand advertising etc. We are using data involving brands and user activity on brand pages from Facebook for this project.
Breakout Detection via Robust E-Statistics
Distributed decision tree ensemble learning in Scala
Finds cointegration between group of stocks
data science course via coursera
The Leek group guide to data sharing
db.r provides a way to interactively explore databases
Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)
Data Extractor Software from source code of facebook advertising page
Data structures for financial time series
ggplot for python
Quick introduction to ggplot2 (no knowledge of R assumed)
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
Time series Forecasting using Holt-Winters Exponential Smoothing
Holt-Winters Triple Exponential Smoothing Algorithm
Japanese Natural Langauge Processing Libraries
Solving Kaggle Bike Sharing Demand prediction problem in R language using random forests
Some Python Implementations of the Kalman Filter
This is a Kalman filter used to calculate the angle, rate and bias from from the input of accelerometer and a gyroscope
Solution to Facebook's link prediction contest on Kaggle.
Mining facebook for advertising
Numpy main repository
Code for researching and backtesting pairs trading
Pairs_Filtering
Web GUI for backtesting pair trading statistical arbitrage portfolio strategies
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.