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Showing posts from July, 2017

Linkin Park: Analyzing the causes of death of Rock band members

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Being a part of the Y generation, I grew up listening to various types and genres of music, from Rap to RnB, to Rock and electronic music. I was personally choked to hear about the death of the lead singer of the Linkin Park band. Their music was and still is popular until today. The news was as choking to me as to anyone else who knew that band. After knowing about the news, I had a discussion about this tragedy , and a question popped up about the fact that rock band members mostly die of suicide or drug over-dose. I wasn't really sure that this information is true, so I really couldn't have a real argument to say that it is maybe (or not ) the most commun reason of death for Rock stars. And since I love playing with data, I decided to fact-check the hypothesis stating that:  "The most commun cause of death among rock band members is suicide" . To start, we have to get  some data! and since there is no available data-set to analyse , I had to be creativ...

Capitaliser sur la "Richesse" de vos données [Partie 1/4]

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Les technologies de Big Data, de l'analyse de données et des modèles prédictifs sont devenues maintenant les "must-have" de toutes les entreprises dans le monde. Les CEO et directeurs observent avec admiration comment Google, Facebook, Airbnb et d'autres sociétés sont entrain de révolutionner leur domaines avec les algorithmes d'intelligence artificielle ,de machine learning et du "Deep Learning".