Competitive Data Science Challenges I have participated in

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[Apr/May 2017] DataScienceChallenge - Growing Instability:

Problem Statement: To classify news articles from The Guardian into one or more from a given set of labels. A Multi-Label Classification problem.

https://www.datasciencechallenge.org/challenges/2/growing-instability/

Final Rank: 13

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[May 2017] Hackerearth - Einsite Data Science Hiring Challenge 'The Cab Service':

Problem Statement: Cabbie Travels, a cab service company of a major city wants to leverage machine learning to improve its business. Precisely, the company wants to understand the trip fares so that they can come up with necessary marketing offers to gain more customers.

https://www.hackerearth.com/challenge/hiring/einsite-data-science-hiring-challenge/machine-learning/the-cab-service-1/

Final Rank: 36

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[June 2017] Hackerearth - Machine Learning 2:

Problem Statement: Kickstarter is a community of more than 10 million people comprising of creative, tech enthusiasts who help in bringing creative project to life. Recently, kickstarter released its public data repository to allow researchers and enthusiasts like us to help them solve a problem. Will a project get fully funded ?

In this challenge, you have to predict if a project will get successfully funded or not.

https://www.hackerearth.com/challenge/competitive/machine-learning-challenge-2/machine-learning/funding-successful-projects/

Final Rank: 15