bnigatu,github

r2time

R connector for OpenTSDB: Analyzing large time-series data in R environment using data-intensive capabilities.

smartthingspublic

SmartThings open-source DeviceTypeHandlers and SmartApps code

sofia-ml

Automatically exported from code.google.com/p/sofia-ml

spark-mllib-twitter-sentiment-analysis

:star2: :sparkles: Analyze and visualize Twitter Sentiment on a world map using Spark MLlib

spark-twitter-stream-example

"Sentiment analysis" on a live Twitter feed with Apache Spark and Apache Bahir

spark.samples

tutorials and samples that show you how get the most out of IBM Analytics for Apache Spark

sql-for-developers-and-analysts-with-ms-sql-server

sqlmap

Automatic SQL injection and database takeover tool

stock-market-prediction-using-natural-language-processing

We used Machine learning techniques to evaluate past data pertaining to the stock market and world affairs of the corresponding time period, in order to make predictions in stock trends. We built a model that will be able to buy and sell stock based on profitable prediction, without any human interactions. The model uses Natural Language Processing (NLP) to make smart “decisions” based on current affairs, article, etc. With NLP and the basic rule of probability, our goal is to increases the accuracy of the stock predictions.

thunderain

A Real-Time Analytical Processing (RTAP) example using Spark/Shark

twitter-sentiment-analysis-tutorial-201107

Code to reproduce the simple sentiment analysis from my presentation

twitterstream

Twitter Streaming API Example with Kafka Streams in Scala

unix-fundamentals

This course examines the basic features of Unix OS, UNIX commands, the UNIX file system, the UNIX shells and shell programming, and comparisons between UNIX and Linux. In this course, we examine the interaction of end Users with the UNIX operating system.

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