I'm actively contributing open-source content to Kaggle - a Data Science platform owed by Google that hold one of the largest data science communities in the world.

Twitter has become an important communication channel in times of emergency. The ubiquitousness of smartphones enables people to announce an emergency they’re observing in real-time. Because of this, more agencies are interested in programatically monitoring Twitter (i.e. disaster relief organizations and news agencies). But, it’s not always clear whether a person’s words are actually announcing a disaster.

In this competition, the challenge is to build a machine learning model that predicts which Tweets are about real disasters and which one’s aren’t. We have access to a dataset of 10,000 tweets that were hand classified.