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kagglesolutions's Projects

2018dsb icon 2018dsb

2018 Data Science Bowl 2nd Place Solution

criteo icon criteo

A potential 22nd rank solution to Criteo Labs Display Advertising Challenge on Kaggle

data_science_bowl_2018 icon data_science_bowl_2018

My 5th place (out of 816 teams) solution to The 2018 Data Science Bowl organized by Booz Allen Hamilton

dsb_2018 icon dsb_2018

Code for the Data Science Bowl 2018 competition on Kaggle

kaggle icon kaggle

Containing codes of participation in Kaggle competitions.

kaggle-1 icon kaggle-1

My solution to Web Traffic Predictions competition on Kaggle.

kaggle-avito icon kaggle-avito

https://www.kaggle.com/c/avito-context-ad-clicks/forums

kaggle-outbrain icon kaggle-outbrain

Companion repository to blog posts http://dsnotes.com/post/2017-01-27-lessons-learned-from-outbrain-click-prediction-kaggle-competition/ and http://dsnotes.com/post/2017-02-07-large-data-feature-hashing-and-online-learning-part-2/

kaggle-seeclickfix-ensemble icon kaggle-seeclickfix-ensemble

Prize winning solution to the SeeClickFix contest hosted on Kaggle, developed by teammates Bryan Gregory and Miroslaw Horbal. The purpose of the contest was to train a model (as scored by RMSLE) using supervised learning that will accurately predict the views, votes, and comments that an issue posted to the www.seeclickfix.com website will receive. My teammate and I used this ensemble code base to combine our top ranked individual models to create a prize-winning solution, defeating >500 other teams and winning a prize of $1,000.

kaggle-seeclickfix-model icon kaggle-seeclickfix-model

Prize-winning solution for Kaggle contest "SeeClickPredictFix". The purpose of the contest was to train a model (as scored by RMSLE) using supervised learning that will accurately predict the views, votes, and comments that an issue posted to the www.seeclickfix.com website will receive. This code developed by me uses a segment based ensemble to generate predictions for the 3 targets (views, votes, and comments). My teammate and I used this model in combination with his to create a winning model for the contest, defeating >500 other teams and winning a purse of $1,0000.

kaggle-text-norm-ru icon kaggle-text-norm-ru

Text Normalization Challenge - Russian Language (silver medal winner). Check my coding style by: best_v2.py

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