Our submission for 2nd place to the MEG decoding competition https://www.kaggle.com/c/decoding-the-human-brain
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Updated
Aug 2, 2014 - Python
Our submission for 2nd place to the MEG decoding competition https://www.kaggle.com/c/decoding-the-human-brain
Our submission for 2nd Place in Kaggle DecMeg Competition
4th Place Solution for The Hunt for Prohibited Content Competition on Kaggle (http://www.kaggle.com/c/avito-prohibited-content)
Code for Large Scale Hierarchical Text Classification competition. Final place: 3rd
MSc in Mathematical Modelling - Modelling Workshop
Forecast bike rental demand in the Capital Bikeshare program in Washington, D.C. based on weather data and historical usage patterns.
During this challenge, we had to find a classifier which has enabled to recognize if a travel was driven by a selected driver.
Kaggle "Microsoft Malware Classification Challenge". 6th place solution
Kaagle Competition. Use cartographic variables to classify forest categories.
Repository of R code for the course "The Analytics Edge" offered by MIT via edX.
Recognize users of mobile devices from accelerometer data ( Accelerometer Biometric Competition on kaggle)
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstartes basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
Easy to follow introduction to Machine Learning using Scikit-Learn, Pandas and Python
My first Kaggle data science competition: prediction of country destination of new users on Airbnb
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