Alternatives and similar repositories for beer-bandit

Users that are interested in beer-bandit are comparing it to the libraries listed below

• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 9 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆65Updated 8 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 7 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
• zygmuntz / kaggle-happiness
  Predicting happiness from demographics and poll answers
  ☆46Updated 9 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 10 years ago
• fastforwardlabs / hello_deep_learning
  Example scripts for various deep learning APIs.
  ☆27Updated 10 years ago
• alexisperrier / datatalks
  Public Machine Learning and Data Competition Repo
  ☆54Updated 10 years ago
• manugarri / pydata_2016_talk_recommenders
  PyData Madrid 2016 material for the talk: A Primer to recommendation Systems
  ☆37Updated 9 years ago
• amueller / pydata-nyc-advanced-sklearn
  Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.
  ☆68Updated 11 years ago
• grfiv / healthcare_twitter_analysis
  Healthcare Twitter Analysis
  ☆26Updated 9 years ago
• numb3r33 / Kaggle-Competitions
  All Kaggle competitions
  ☆90Updated 9 years ago
• zygmuntz / kaggle-stackoverflow
  Predicting closed questions on Stack Overflow
  ☆44Updated 8 years ago
• diefimov / west_nile_virus_2015
  the 2nd place solution for West Nile Virus Prediction challenge on Kaggle
  ☆36Updated 10 years ago
• danielfrg / copper
  Fast, easy and intuitive machine learning prototyping.
  ☆124Updated 11 years ago
• rhiever / MarkovNetwork
  Python implementation of Markov Networks for neural computing.
  ☆38Updated 10 months ago
• arnicas / nlp_elasticsearch_reviews
  Dato/Turi DS Conf talk on NLP and Elasticsearch analysis of reviews, plus JS implementation
  ☆45Updated 9 years ago
• cambridgecoding / pydata-tutorial
  Files for London PyData London, 2015
  ☆15Updated 10 years ago
• abhishekkrthakur / walmart2015
  ☆26Updated 10 years ago
• srikris / datascience-bowl
  National Data Science Bowl
  ☆20Updated 10 years ago
• GalvanizeDataScience / pipelines_and_featureunions
  An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.
  ☆16Updated 8 years ago
• mortehu / text-classifier
  Creates models to classify documents into categories
  ☆66Updated 8 years ago
• amueller / kaggle_insults
  Kaggle Submission for "Detecting Insults in Social Commentary"
  ☆148Updated 10 years ago
• LucasEstevam / textSentimentViz
  Visualization of text sentiment using deep learning
  ☆43Updated 9 years ago
• alexandraj777 / machine-learning-samples
  Sample applications built using AWS' Amazon Machine Learning.
  ☆51Updated 8 years ago
• justmarkham / kaggle-pycon-2015
  Solution code from my winning submission to Kaggle's PyCon 2015 competition
  ☆55Updated 10 years ago
• tfolkman / learningwithdata
  Code for Learning with Data Blog
  ☆64Updated 8 years ago
• MLWave / Kaggle_Rotten_Tomatoes
  Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit
  ☆24Updated 11 years ago
• fastforwardlabs / probabilistic-programming-from-scratch
  Notebook version of an article on the Fast Forward Labs blog
  ☆60Updated 8 years ago
• stitchfix / Algorithms-Notebooks
  Algorithm's team Jupyter Notebooks
  ☆113Updated 7 months ago