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

• CalculatedContent / tsvm
  experiments testing transductive svm for my blog posts
  ☆91Updated 10 years ago
• mhamilton723 / tseries
  A library for time series analysis with sklearn.
  ☆81Updated 8 years ago
• cliburn / sta-663-2016
  STA663 Statistical Computing and Computation, Spring 2016
  ☆87Updated 9 years ago
• ajtulloch / Elements-of-Statistical-Learning
  Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)
  ☆290Updated 11 years ago
• josejimenezluna / nnet-ts
  Neural network architecture for time series forecasting.
  ☆109Updated 8 years ago
• sujitpal / statlearning-notebooks
  Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
  ☆378Updated 10 years ago
• djour / PyBRML
  Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning
  ☆163Updated 10 years ago
• RubensZimbres / PythonDataScienceHandbook
  Jupyter Notebooks for the Python Data Science Handbook
  ☆38Updated 8 years ago
• amplab / datascience-sp14
  Repository for data science course Spring 14
  ☆185Updated 11 years ago
• osdf / py_bh_tsne
  A python wrapper for Barnes-Hut tsne
  ☆60Updated 9 years ago
• yoavfreund / UCSD_BigData_2016
  ☆39Updated 6 years ago
• bugra / pydata-dal-2015
  Pydata Dallas 2015 Scikit-Learn Tutorial
  ☆62Updated 10 years ago
• amueller / COMS4995-s18
  COMS W4995 Applied Machine Learning - Spring 18
  ☆157Updated 6 years ago
• blaenk / learning-from-data
  programming assignments for cal tech machine learning class
  ☆41Updated 8 years ago
• rasbt / pydata-chicago2016-ml-tutorial
  Machine learning with scikit-learn tutorial at PyData Chicago 2016
  ☆128Updated 9 years ago
• amueller / applied_ml_spring_2017
  Website and material for the FIXME course on Practical Machine Learning
  ☆88Updated 7 years ago
• jakevdp / sklearn_pycon2013
  Files for my scikit-learn tutorial at PyCon 2013
  ☆169Updated 9 years ago
• shashankg7 / Deep-Learning-for-NLP-Resources
  List of resources to get started with Deep Learning for NLP.
  ☆358Updated 8 years ago
• Wrosinski / MachineLearning_ResourcesCompilation
  Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.
  ☆93Updated 7 years ago
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆197Updated 8 years ago
• jseabold / statsmodels-tutorial
  Tutorial Created for SciPy 2012
  ☆58Updated 12 years ago
• ChangeMyUsername / algorithms-sedgewick-python
  Algorithms(4th edition) by Robert Sedgewick and Kevin Wayne exercises in python
  ☆274Updated 3 years ago
• christopher-beckham / cs109-dl-videos
  Shell script to scrape Harvard CS109 (Intro to Data Science) lecture videos
  ☆79Updated 9 years ago
• vmirly / DataScience
  ☆66Updated 2 years ago
• littlezz / ESL-Model
  Algorithm from The Elements of Statistical Learning book implement by Python 3 code
  ☆19Updated 9 years ago
• TSA-Contest / tsa-contest-baseline
  Some baselines for TSA Contest: http://algo.tpai.qq.com
  ☆75Updated 8 years ago
• justmarkham / kaggle-pycon-2015
  Solution code from my winning submission to Kaggle's PyCon 2015 competition
  ☆55Updated 10 years ago
• dmitriydligach / PyMLSlides
  Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
  ☆310Updated 4 years ago
• GaelVaroquaux / scikit-learn-tutorial
  Applied Machine Learning in Python with scikit-learn
  ☆133Updated 13 years ago
• Theofilos-Chamalis / edX-6.00.1x-Introduction-to-Computer-Science-and-Programming
  MIT edX 6.00.1x Introduction to Computer Science and Programming problem sets code
  ☆103Updated 3 years ago