Sessions
GOTO Chicago 2017

Monday May 1
11:40 –
12:30
Location: Vevey 1-2

Predicting free Pizza with Python. Cowabunga Dude!

Slides:


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Pizza. It’s cheesy, carb packed (or not), and all together yummy. We’d offer to do just about anything for free pizza. Right?

Python is an ideal language for answering these types of questions given its rich scientific libraries and tools for analysis.

In this talk I will define the scope of a machine learning problem, predicting altruism through the gifting of a free pizza, to demonstrate how Python can be used to model machine learning problems. Using text based data of the requests along with the labeled outcomes we’ll see how a simple classifier like Naive Bayes can learn to predict if a pizza-desperate request is successful or not.

Let’s see how Python can help us model “learning” to get all the free pizza. Cowabunga dude!

Lorena Mesa
Keeper of Proximate Knowledge aka Platform Engineer, Data at Sprout Social
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