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

• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 8 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• samuelleach / python-notebooks
  Python notebooks for demonstrating various ideas, APIs, libraries.
  ☆32Updated 7 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• tcsai / data-proc-adv
  Data Processing Advanced: a course on scientific computing with Numpy/Scipy
  ☆22Updated 7 years ago
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 9 years ago
• rhiever / active-categorical-classifier
  A tool that evolves small brains capable of scanning and classifying an image.
  ☆14Updated 8 years ago
• Emaasit / long-range-extrapolation
  Capturing Structure Implicitly from Noisy Time-Series having Limited Data
  Updated 7 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
• amueller / mlss_2015
  Material for open source machine learning practical
  ☆21Updated 9 years ago
• alexeygrigorev / classifying-crisis-reports-dsc
  The top 10 solution to the "Growing Instability: Classifying Crisis Reports" challenge
  ☆21Updated 7 years ago
• ryotat / mlss15
  ☆58Updated 9 years ago
• zlosa / TPOT_Kaggle
  Datasets and notebooks
  ☆13Updated 8 years ago
• gwulfs / Bastien-Theano-Workshop
  ☆44Updated 9 years ago
• szilard / xgboost-adv-workshop-LA
  Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016
  ☆26Updated 8 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago
• rizalzaf / adversarial-multiclass
  Adversarial Multiclass Classification: A Risk Minimization Perspective
  ☆28Updated 5 years ago
• shashankg7 / Visual-Question-Answering
  Visual Question Answering system's different implementations
  ☆10Updated 8 years ago
• MLWave / normalized-compression-neighbors
  Document or binary file vectorization with Normalized Compression Distance in Python.
  ☆17Updated 9 years ago
• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 9 years ago
• sujitpal / intro-dl-talk-code
  Jupyter notebooks and code for Intro to DL talk at Genesys
  ☆14Updated 8 years ago
• dolaameng / deeplearning-exploration
  Explore different deep-learning frameworks
  ☆18Updated 6 years ago
• tdhopper / smo-svm
  A derivation of the Sequential Minimal Optimization Algorithm for Support Vector Machines
  ☆11Updated last year
• dnlcrl / PyFunt
  Pythonic Deep Learning Framework Inspired by Torch's Neural Network package
  ☆28Updated 7 years ago
• amueller / advanced_git_nyu_2016
  Advanced git and github course material
  ☆39Updated 7 years ago
• nushio3 / practice
  ☆28Updated 5 years ago
• Kyubyong / integer_sequence_learning
  RNN Approaches to Integer Sequence Learning--the famous Kaggle competition
  ☆28Updated 8 years ago
• MLWave / Kaggle_Rotten_Tomatoes
  Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit
  ☆24Updated 10 years ago
• mike-perdide / scikit-learn-tutorial
  Applied Machine Learning in Python with scikit-learn
  ☆47Updated 14 years ago