Pinned Repositories
ADASYN
Adaptive Synthetic Sampling Approach for Imbalanced Learning
CostSensitiveClassification
CostSensitiveClassification Library in Python
homebrew
The missing package manager for OS X
progit
Pro Git Book Content
py3k-__format__
py3k-__format__-sprint
Stat289HW3
Third Homework Assignment for Applied Bayesian Statistics
surveyfinal
Final Project
XBox-Player-Statistics-Scraper
A set of python scripts to pull user information and activities data from 360voice.com
pogigroo's Repositories
pogigroo/ADASYN
Adaptive Synthetic Sampling Approach for Imbalanced Learning
pogigroo/CostSensitiveClassification
CostSensitiveClassification Library in Python
pogigroo/dcpython-saturday-classes
http://www.meetup.com/dcpython/
pogigroo/elastic-insight
Plugin to bring the power of predictive analytics to Elasticsearch.
pogigroo/EnronClustering
Parsing and Clustering Enron data against basic lingusitic dictionaries
pogigroo/fun_with_kaggle
pogigroo/go
The Open Source Data Science Masters
pogigroo/HadoopApriori
An implement of the seminal Apriori algorithm using Hadoop.
pogigroo/hrv
HRV analysis for emwave database
pogigroo/microbedmm
Automatically exported from code.google.com/p/microbedmm
pogigroo/mixtape_learnr
private for for course
pogigroo/nyan
NYAN is a news filtering engine written in Python and some Ruby.
pogigroo/Omnifocus-Icons
pogigroo/practice_Random_Forests
Work Area for practicing Supervised Learning using Random Forests
pogigroo/ROC
An R package to compute ROC and DET statistics, and calibrate detection classifiers
pogigroo/scikit-learn
scikit-learn: machine learning in Python
pogigroo/Seattle-Trending-Crime
My submission for my Crime Analytics: Visualization of Incident Reports coursera assignment
pogigroo/smooth
The set of functions used for time series analysis and in forecasting.
pogigroo/spark
Mirror of Apache Spark
pogigroo/spark-arules
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 longer depend on the minimum support parameter and increase the usability of association rule analysis tremendously.
pogigroo/spark-cluster
Reactive Similarity Analysis Engine
pogigroo/spark-elastic
This project combines Apache Spark and Elasticsearch to enable mining & prediction for Elasticsearch.
pogigroo/spark-fm
Reactive Factorization Engine
pogigroo/spark-fsm
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 sequential pattern and also sequential rule mining.
pogigroo/spark-outlier
Reactive Outlier Detection Engine
pogigroo/spark-piwik
Beyond Piwik Analytics with Scala and Apache Spark
pogigroo/streaming_vb
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/paper/4980-streaming-variational-bayes.pdf
pogigroo/unfinished-asteroids
An unfinished game for you to finish. There is an adventure waiting in the wiki
pogigroo/webcam-pulse-detector
A python application that detects and highlights the heart-rate of an individual (using only their own webcam) in real-time.
pogigroo/WekaClassifiers
Weka extensions