Alternatives and similar repositories for csc432-notebooks

Users that are interested in csc432-notebooks are comparing it to the libraries listed below

• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 9 years ago
• dask / old-dask-examples
  Collection of dask example notebooks
  ☆57Updated 7 years ago
• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 9 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 7 years ago
• fonnesbeck / scipy2015_tutorial
  Computational Statistics II Tutorial at SciPy 2015
  ☆48Updated 10 years ago
• danielfrg / copper
  Fast, easy and intuitive machine learning prototyping.
  ☆124Updated 11 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 9 years ago
• jakevdp / ProntoData
  Scripts to Analyze Pronto's Data Release
  ☆23Updated 10 years ago
• vmirly / DataScience
  ☆66Updated 2 years ago
• rgerkin / pystan-sklearn
  ☆32Updated 8 years ago
• mrocklin / dask-workshop
  ☆28Updated 8 years ago
• fonnesbeck / pytenn2014_tutorial
  PyTennessee 2014: Statistical Data Analysis in Python
  ☆85Updated 11 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
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆65Updated 8 years ago
• pymc-devs / uq_chapter
  Uncertainty quantification book chapter
  ☆50Updated 10 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆93Updated 2 years ago
• deeplook / pydata_berlin2016_materials
  Collection of pointers to slides and repositories from speakers at PyData Berlin 2016
  ☆37Updated 9 years ago
• CamDavidsonPilon / StartupFiles
  My IPython startup files.
  ☆109Updated 10 years ago
• AllenDowney / BayesSeminar
  Bayesian statistics seminars
  ☆29Updated 8 years ago
• Quantia-Analytics / DyDataSF2016Visualization
  Materials for the PyData San Francisco 2016 visualization tutorial
  ☆14Updated 9 years ago
• GalvanizeDataScience / pipelines_and_featureunions
  An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.
  ☆16Updated 8 years ago
• amueller / advanced_git_nyu_2016
  Advanced git and github course material
  ☆40Updated 7 years ago
• springcoil / PyDataLondonTutorial
  PyDataLondonTutorial
  ☆26Updated 9 years ago
• brakmic / Data-Science-for-Losers
  Articles on Data Science, Jupyter, and Pandas
  ☆18Updated 10 years ago
• joshloyal / pydata-amazon-products
  Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"
  ☆30Updated 8 years ago
• jrmontag / mnist-sklearn
  Code and notes from using scikit-learn on the MNIST digits dataset. For more of a narrative on this project, see the article:
  ☆29Updated 10 years ago
• twiecki / pydata_ninja
  The Path of the PyData Ninja
  ☆16Updated 10 years ago
• pandas-ml / pandas_confusion
  This repository is not maintained anymore. ConfusionMatrix is now part of pandas-ml
  ☆19Updated 9 years ago
• manugarri / pydata_2016_talk_recommenders
  PyData Madrid 2016 material for the talk: A Primer to recommendation Systems
  ☆37Updated 9 years ago
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 10 years ago