Alternatives and similar repositories for edX-Learning-From-Data-Solutions

Users that are interested in edX-Learning-From-Data-Solutions are comparing it to the libraries listed below

• mhamilton723 / tseries
  A library for time series analysis with sklearn.
  ☆81Updated 8 years ago
• CalculatedContent / tsvm
  experiments testing transductive svm for my blog posts
  ☆91Updated 10 years ago
• sujitpal / statlearning-notebooks
  Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
  ☆378Updated 10 years ago
• justmarkham / kaggle-pycon-2015
  Solution code from my winning submission to Kaggle's PyCon 2015 competition
  ☆55Updated 10 years ago
• josejimenezluna / nnet-ts
  Neural network architecture for time series forecasting.
  ☆109Updated 8 years ago
• cmawer / pycon-2017-eda-tutorial
  Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"
  ☆237Updated 3 years ago
• rasbt / pydata-chicago2016-ml-tutorial
  Machine learning with scikit-learn tutorial at PyData Chicago 2016
  ☆128Updated 9 years ago
• agconti / KaggleAux
  A collection of statistical tools to aid Data Science competitors in Kaggle Competitions.
  ☆63Updated 7 years ago
• blaenk / learning-from-data
  programming assignments for cal tech machine learning class
  ☆41Updated 8 years ago
• RubensZimbres / PythonDataScienceHandbook
  Jupyter Notebooks for the Python Data Science Handbook
  ☆38Updated 8 years ago
• cliburn / sta-663-2016
  STA663 Statistical Computing and Computation, Spring 2016
  ☆87Updated 9 years ago
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆197Updated 8 years ago
• amueller / ml-training-intro
  Materials for the "Introduction to Machine Learning" class
  ☆227Updated 6 years ago
• phunterlau / kaggle_higgs
  My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)
  ☆82Updated 11 years ago
• jakevdp / sklearn_pydata2015
  Scikit-Learn Tutorial for PyData Seattle 2015
  ☆136Updated 10 years ago
• amueller / applied_ml_spring_2017
  Website and material for the FIXME course on Practical Machine Learning
  ☆88Updated 7 years ago
• turi-code / how-to
  How-To code samples for working with GraphLab Create.
  ☆207Updated 8 years ago
• osdf / py_bh_tsne
  A python wrapper for Barnes-Hut tsne
  ☆60Updated 9 years ago
• justmarkham / DAT7
  General Assembly's Data Science course in Washington, DC
  ☆234Updated last year
• jaberg / IPythonTheanoTutorials
  ☆196Updated 12 years ago
• jseabold / statsmodels-tutorial
  Tutorial Created for SciPy 2012
  ☆58Updated 12 years ago
• craffel / theano-tutorial
  A collection of tutorials on neural networks, using Theano
  ☆220Updated 2 years ago
• GaelVaroquaux / scikit-learn-tutorial
  Applied Machine Learning in Python with scikit-learn
  ☆133Updated 13 years ago
• ogrisel / notebooks
  Some sample IPython notebooks for scikit-learn
  ☆573Updated this week
• djour / PyBRML
  Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning
  ☆164Updated 10 years ago
• vmirly / DataScience
  ☆66Updated 2 years ago
• yhat / DataGotham2013
  ☆212Updated 10 years ago
• amueller / pydata-strata-2015
  Slides and notebooks for PyData Strata San Jose
  ☆50Updated 10 years ago
• carljv / Will_it_Python
  Translating R Data Analyses to Python
  ☆280Updated 7 years ago
• thismlguy / Kaggle
  Containing codes of participation in Kaggle competitions.
  ☆37Updated 9 years ago