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Step by step Kaggle competition tutorial
Kaggle is a Data Science community where thousands of Data Scientists compete to solve complex data problems.
In this article we are going to see how to go through a Kaggle competition step by step.
The contest explored here is the San Francisco Crime Classification contest. The goal is to classify a crime occurrence knowing the time and place it happened.
Beer reviews with Recurrent Neural Networks (RNN)
Since Andrej Karpathy conviced me of the The Unreasonable Effectiveness of Recurrent Neural Networks, I decided to give it a try as soon as possible.
As I was wondering in the Wiesn in Munich for the Oktoberfest, the beer festival, I wondered how would a RNN write a beer review.
Sentiment analysis for Youtube channels – with NLTK
In this tutorial, we ‘ll first take a look at the Youtube API to retrieve comments data about the channel as well as basic information about the likes count and view count of the videos. Then, we will use Nltk to see most frequently used words in the comments and plot some sentiment graphs.
Find the perfect city for you using Meetups data
Some time ago I discovered a very nice tool to find nearby events and things to do around. It’s called citypulse.io and I found it very useful.
Every night, they pull new data from: Continue reading
DIY : Use Instagram data to plan your next vacation
When I travel, I always want to get the most of the city I’m visiting. One way is to talk to local people and get advices about which spots you shouldn’t miss. But I wish I could have the point of view of the past visitors… Which places did they enjoy the most ? Where is the best spot to watch the sunset ? The best selfies you can get ? I also want to have a look of some beaches before choosing one or getting an idea about what some areas looks like… The idea here is to ask Instagram about the nearby popular spots.
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