The set of functions used for time series analysis and in forecasting.

private for for course

Reactive Outlier Detection Engine

Reactive Similarity Analysis Engine

This project provides sequential pattern mining for Apache Spark. The algorithms are based on the work of Philippe Fournier-Viger and comprise his SPADE and TSR algorithm. This enables to perform s…

Plugin to bring the power of predictive analytics to Elasticsearch.

This project provides association rule mining for Apache Spark. The algorithms are based on the work of Philippe Fournier-Viger and comprise his TOP-K and TOP-K NR algorithm. Both algorithms do no …

CostSensitiveClassification Library in Python

scikit-learn: machine learning in Python

Reactive Factorization Engine

Work Area for practicing Supervised Learning using Random Forests

An R package to compute ROC and DET statistics, and calibrate detection classifiers

Beyond Piwik Analytics with Scala and Apache Spark

This project combines Apache Spark and Elasticsearch to enable mining & prediction for Elasticsearch.

The Open Source Data Science Masters

An unfinished game for you to finish. There is an adventure waiting in the wiki

This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neural Information Processing Systems, 2013. papers.nips.cc/pape…

Weka extensions

http://www.meetup.com/dcpython/

HRV analysis for emwave database

Mirror of Apache Spark

A python application that detects and highlights the heart-rate of an individual (using only their own webcam) in real-time.

NYAN is a news filtering engine written in Python and some Ruby.

Adaptive Synthetic Sampling Approach for Imbalanced Learning

An implement of the seminal Apriori algorithm using Hadoop.