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abba icon abba

Javascript and Python libraries for A/B test analysis

backtest icon backtest

The backtest package provides facilities for exploring portfolio-based conjectures about financial instruments (stocks, bonds, swaps, options, et cetera).

bigrf icon bigrf

Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory

brand_analytics icon brand_analytics

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.

brushfire icon brushfire

Distributed decision tree ensemble learning in Scala

db.r icon db.r

db.r provides a way to interactively explore databases

dirichlet-process icon dirichlet-process

Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)

excel-vba icon excel-vba

Data Extractor Software from source code of facebook advertising page

holt-winters icon holt-winters

Time series Forecasting using Holt-Winters Exponential Smoothing

kalman icon kalman

Some Python Implementations of the Kalman Filter

kalmanfilter icon kalmanfilter

This is a Kalman filter used to calculate the angle, rate and bias from from the input of accelerometer and a gyroscope

pairtrader icon pairtrader

Web GUI for backtesting pair trading statistical arbitrage portfolio strategies

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