Alternatives and similar repositories for tutorials

Users that are interested in tutorials are comparing it to the libraries listed below

• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 7 years ago
• chdoig / dss-scaling-tutorial
  ☆28Updated 8 years ago
• Far0n / kaggle-lmgpip
  Top15 Solution for Kaggle-Competition "Liberty Mutual Group: Property Inspection Prediction"
  ☆50Updated 9 years ago
• justmarkham / kaggle-pycon-2015
  Solution code from my winning submission to Kaggle's PyCon 2015 competition
  ☆55Updated 10 years ago
• amueller / quick-ml-intro
  One hour interactive training for ML with scikit-learn
  ☆73Updated 8 years ago
• Prooffreader / intro_machine_learning
  Introduction to Machine Learning, a series of IPython Notebook and accompanying slideshow and video
  ☆102Updated 6 years ago
• bugra / pydata-nyc-2014
  Pydata NYC 2014 Scikit Learn Tutorial
  ☆65Updated 10 years ago
• amueller / pydata-strata-2015
  Slides and notebooks for PyData Strata San Jose
  ☆50Updated 10 years ago
• amueller / odscon-sf-2015
  Material for ODSCON San Francisco 2015
  ☆79Updated 9 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
• 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
• arnicas / nlp_elasticsearch_reviews
  Dato/Turi DS Conf talk on NLP and Elasticsearch analysis of reviews, plus JS implementation
  ☆45Updated 8 years ago
• fonnesbeck / pytenn2014_tutorial
  PyTennessee 2014: Statistical Data Analysis in Python
  ☆85Updated 10 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 7 years ago
• amueller / scikit-learn-interactive-tutorial
  IPython notebooks and data an interactive scikit-learn tutorial.
  ☆53Updated 10 years ago
• mike-perdide / scikit-learn-tutorial
  Applied Machine Learning in Python with scikit-learn
  ☆47Updated 14 years ago
• vmirly / DataScience
  ☆66Updated 2 years ago
• rouseguy / Optimization_in_Python
  Tutorial on "Modern Optimization Methods in Python"
  ☆18Updated 9 years ago
• MLWave / kaggle_acquire-valued-shoppers-challenge
  Code for the Kaggle acquire valued shoppers challenge
  ☆66Updated 11 years ago
• NathanEpstein / pydata-reinforce
  code for pydata madrid presentation
  ☆53Updated 9 years ago
• rouseguy / intro2deeplearning
  Introduction to Deep Learning
  ☆126Updated 9 years ago
• zygmuntz / classifying-text
  Classifying text with bag-of-words
  ☆113Updated 10 years ago
• ilkarman / NLP-Sentiment
  Various NLP methods (in python) to perform sentiment analysis
  ☆77Updated 8 years ago
• phunterlau / kaggle_higgs
  My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)
  ☆82Updated 10 years ago
• FindBoat / Kaggle
  Codes for several practice contests in Kaggle
  ☆85Updated 9 years ago
• diefimov / west_nile_virus_2015
  the 2nd place solution for West Nile Virus Prediction challenge on Kaggle
  ☆36Updated 10 years ago
• Britefury / deep-learning-tutorial-pydata
  Deep learning tutorial for PyData
  ☆85Updated 6 years ago
• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 9 years ago
• ahara / kaggle_otto
  Kaggle Otto Group Product Classification Challenge
  ☆35Updated 10 years ago
• rhiever / MarkovNetwork
  Python implementation of Markov Networks for neural computing.
  ☆38Updated 3 months ago