Alternatives and similar repositories for kaggle-berlin

Users that are interested in kaggle-berlin are comparing it to the libraries listed below

• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 7 years ago
• mkliegl / kaggle-Facebook-V
  Second place solution for Facebook V competition on Kaggle
  ☆77Updated 8 years ago
• skrypka / crowdflower-search
  Kaggle competition
  ☆23Updated 9 years ago
• mdagost / pug_classifier
  Deep Learning for Pugs
  ☆74Updated 7 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 10 years ago
• ojedatony1616 / exploratory_transformation
  Repository for exploratory data transformation & visualization talk
  ☆27Updated 8 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 7 years ago
• christophebourguignat / notebooks
  ☆160Updated 8 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 10 years ago
• tfolkman / learningwithdata
  Code for Learning with Data Blog
  ☆65Updated 8 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆118Updated 8 years ago
• joshloyal / pydata-amazon-products
  Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"
  ☆30Updated 8 years ago
• zygmuntz / kaggle-happiness
  Predicting happiness from demographics and poll answers
  ☆45Updated 8 years ago
• zacstewart / kaggle_seeclickfix
  My machine learning model for the See Click Predict Fix Kaggle competition
  ☆31Updated 7 years ago
• mlandry22 / kaggle
  Public Kaggle Code and Info
  ☆43Updated 9 years ago
• ttvand / Facebook-V
  Cleaned code of the winning submission of the Kaggle Recruiting Competition
  ☆123Updated 5 years ago
• rouseguy / intro2deeplearning
  Introduction to Deep Learning
  ☆126Updated 9 years ago
• szilard / ml-prod
  Some thoughts on how to use machine learning in production
  ☆72Updated 8 years ago
• abhishekkrthakur / walmart2015
  ☆26Updated 9 years ago
• andrewdblevins / beyond_word2vec
  Slides for my doc2vec workshop/talk
  ☆29Updated 7 years ago
• manugarri / pydata_2016_talk_recommenders
  PyData Madrid 2016 material for the talk: A Primer to recommendation Systems
  ☆37Updated 9 years ago
• jakevdp / ProntoData
  Scripts to Analyze Pronto's Data Release
  ☆24Updated 9 years ago
• gangeshwark / all-datasets-links
  Curated list of all dataset websites that I find
  ☆84Updated 6 years ago
• alexandraj777 / machine-learning-samples
  Sample applications built using AWS' Amazon Machine Learning.
  ☆51Updated 8 years ago
• ottogroup / kaggle
  Additional files for the Otto Group Challenge hosted by Kaggle
  ☆37Updated 10 years ago
• diefimov / west_nile_virus_2015
  the 2nd place solution for West Nile Virus Prediction challenge on Kaggle
  ☆36Updated 9 years ago
• owenzhang / Kaggle-AmazonChallenge2013
  my public kaggle code
  ☆79Updated 11 years ago
• justmarkham / kaggle-pycon-2015
  Solution code from my winning submission to Kaggle's PyCon 2015 competition
  ☆55Updated 10 years ago
• springcoil / TutorialPyMCRugby
  My Tutorial for PyData London
  ☆25Updated 9 years ago
• unnati-xyz / intro-to-deep-learning-for-nlp
  The repository contains code walkthroughs which introduces Deep Learning in the field of Natural Language Processing.
  ☆109Updated 8 years ago