Alternatives and similar repositories for python_tour_of_data_science

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

• tcsai / data-proc-adv
  Data Processing Advanced: a course on scientific computing with Numpy/Scipy
  ☆22Updated 8 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 8 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 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
• phdata / exploring-mllib-post
  Source code for exploring MLlib blog post
  ☆11Updated 10 years ago
• zygmuntz / kaggle-amazon
  Amazon access control challenge
  ☆25Updated 11 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 9 years ago
• zygmuntz / kaggle-stackoverflow
  Predicting closed questions on Stack Overflow
  ☆44Updated 7 years ago
• danielhanchen / sciblox
  sciblox - Easier Data Science and Machine Learning
  ☆50Updated 7 years ago
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 9 years ago
• samuelleach / python-notebooks
  Python notebooks for demonstrating various ideas, APIs, libraries.
  ☆32Updated 7 years ago
• GaelVaroquaux / sklearn_europython_2014
  Scikit-learn Tutorial at EuroPython 2014
  ☆43Updated 6 years ago
• fridiculous / estimators
  Machine Learning Versioning made Simple
  ☆38Updated 3 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• MKLab-ITI / news-popularity-prediction
  A set of methods that predict the future values of popularity indices for news posts using a variety of features.
  ☆33Updated 7 years ago
• glouppe / kaggle-marinexplore
  Code for the Kaggle Marinexplore challenge
  ☆17Updated 12 years ago
• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 9 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• rouseguy / Optimization_in_Python
  Tutorial on "Modern Optimization Methods in Python"
  ☆18Updated 9 years ago
• vchahun / yart
  Yet another regression toolkit
  ☆12Updated 11 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• zygmuntz / cubert
  How to make those 3D data visualizations
  ☆23Updated 7 years ago
• jmschrei / notebooks
  Various notebooks and tutorials on subjects of interest.
  ☆36Updated 5 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• wookayin / TensorflowKR-2016-talk-debugging
  A talk on TensorFlow debugging -- REPOSITORY MOVED TO:
  ☆8Updated 8 years ago
• glouppe / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆15Updated 7 years ago
• dnlcrl / PyFunt
  Pythonic Deep Learning Framework Inspired by Torch's Neural Network package
  ☆28Updated 7 years ago
• mike-perdide / scikit-learn-tutorial
  Applied Machine Learning in Python with scikit-learn
  ☆47Updated 14 years ago
• EvoML / evolved-forests
  Using GP and metafeatures to grow better forests for prediction.
  ☆10Updated 8 years ago
• zlosa / TPOT_Kaggle
  Datasets and notebooks
  ☆13Updated 8 years ago