zygmuntz / kaggle-amazon

Related projects: ⓘ

• MLWave / Kaggle_Rotten_Tomatoes
  Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit
  ☆24Updated 10 years ago
• abhishekkrthakur / automl_gpu
  ☆26Updated 8 years ago
• abhishekkrthakur / walmart2015
  ☆26Updated 8 years ago
• MLWave / kaggle_acquire-valued-shoppers-challenge
  Code for the Kaggle acquire valued shoppers challenge
  ☆66Updated 10 years ago
• ChenglongChen / Kaggle_The_Hunt_for_Prohibited_Content
  4th Place Solution for The Hunt for Prohibited Content Competition on Kaggle (http://www.kaggle.com/c/avito-prohibited-content)
  ☆29Updated 10 years ago
• gramolin / flavours-of-physics
  Second-ranked solution to the Kaggle "Flavours of Physics" competition
  ☆24Updated 8 years ago
• zygmuntz / kaggle-stackoverflow
  Predicting closed questions on Stack Overflow
  ☆46Updated 6 years ago
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 8 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 5 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• rhiever / webstep-sklearn-quickstart
  Scikit-learn quickstart tutorial for Webstep
  ☆18Updated 7 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 7 years ago
• diefimov / otto_2015
  ☆29Updated 8 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 5 years ago
• ahara / kaggle_otto
  Kaggle Otto Group Product Classification Challenge
  ☆34Updated 9 years ago
• sujitpal / intro-dl-talk-code
  Jupyter notebooks and code for Intro to DL talk at Genesys
  ☆14Updated 8 years ago
• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 8 years ago
• theusual / kaggle-seeclickfix-ensemble
  Prize winning solution to the SeeClickFix contest hosted on Kaggle, developed by teammates Bryan Gregory and Miroslaw Horbal. The purpose…
  ☆26Updated 10 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 8 years ago
• zygmuntz / nonlinear-vowpal-wabbit
  How to use automatic polynomial features and neural network mode in VW
  ☆17Updated 10 years ago
• jdwittenauer / kaggle
  Repository for code used in Kaggle competitions.
  ☆22Updated 5 years ago
• amueller / pydata-nyc-advanced-sklearn
  Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.
  ☆69Updated 9 years ago
• diefimov / amazon_employee_access_2013
  solution of our team Dmitry&Leustagos for Amazon competition (3rd place)
  ☆31Updated 11 years ago
• threecourse / kaggle-walmart-recruiting-sales-in-stormy-weather
  kaggle walmart-recruiting-sales-in-stormy-weather
  ☆47Updated 9 years ago
• mpearmain / homesite
  Homesite Kaggle
  ☆30Updated 8 years ago
• KirkHadley / SectorRotation
  RF + GBM + ARIMA/NN Hybrid ensemble for predicting 6-month returns for the 9 sector ETFs plus IYZ
  ☆23Updated 10 years ago
• sjwhitmore / pycon-kaggle-tutorial-2015
  My 2nd place submission (working with Kevin Goetsch) out of 28 teams at the Kaggle competition at PyCon2015.
  ☆23Updated 9 years ago
• zygmuntz / kaggle-burn-cpu
  Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.
  ☆33Updated 10 years ago
• luisandresilva / Kaggle
  ☆17Updated 8 years ago
• aarshayj / Kaggle
  Containing codes of participation in Kaggle competitions.
  ☆37Updated 8 years ago