Alternatives and similar repositories for python-bigdata

Users that are interested in python-bigdata are comparing it to the libraries listed below

• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆197Updated 8 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆331Updated 2 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆284Updated 9 years ago
• jmportilla / Statistics-Notes
  iPython NOtebooks on Stats
  ☆170Updated last year
• sujitpal / statlearning-notebooks
  Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
  ☆378Updated 10 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆328Updated 2 years ago
• PacktPublishing / PythonDataAnalysisCookbook
  Python Data Analysis Cookbook, published by Packt
  ☆130Updated 5 years ago
• jakevdp / sklearn_scipy2013
  Scikit-learn tutorials for the Scipy 2013 conference
  ☆324Updated 8 years ago
• TwistedHardware / mltutorial
  Machine Learning Tutorial in IPython Notebooks
  ☆133Updated 3 years ago
• justmarkham / DAT5
  General Assembly's Data Science course in Washington, DC
  ☆185Updated 3 years ago
• mGalarnyk / DSE210_Probability_Statistics_Python
  Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)
  ☆182Updated 8 years ago
• culturedbun / pandas-exercises
  Walkthrough exercises from PandasTutorial by Wes McKinney.
  ☆150Updated 5 years ago
• cdeweyx / Hitchhikers-Guide-Machine-Learning
  Guide explaining and implementing fundamental machine learning algorithms in Python
  ☆172Updated 7 years ago
• ipython-books / minibook-2nd-code
  Code of the IPython Minibook, 2nd edition (2015)
  ☆348Updated 5 years ago
• cs109 / 2015lab1
  ☆215Updated 4 years ago
• bbengfort / hadoop-fundamentals
  Code for the Hadoop Fundamentals for Data Scientists course.
  ☆166Updated 7 years ago
• jseabold / pycon-ds-2018
  Introduction to Python for Data Science for PyCon 2018
  ☆130Updated 7 years ago
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆143Updated 7 years ago
• chendaniely / scipy-2017-tutorial-pandas
  SciPy 2017 Pandas Tutorial
  ☆161Updated 5 years ago
• jmportilla / Udemy---Machine-Learning
  Notebooks for Course
  ☆248Updated 9 years ago
• PacktPublishing / Statistics-for-Machine-Learning
  Statistics for Machine Learning, published by Packt
  ☆171Updated 3 years ago
• kjam / data-cleaning-101
  Data Cleaning Libraries with Python
  ☆290Updated 2 years ago
• mGalarnyk / Installations_Mac_Ubuntu_Windows
  Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).
  ☆236Updated 2 years ago
• cs109 / 2015lab4
  Lab for Linear and Logistic Regression, SciKit Learn
  ☆42Updated 7 years ago
• cs109 / 2018-cs109b
  Harvard CS109b Public Repository
  ☆238Updated 5 years ago
• amueller / scipy-2017-sklearn
  Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
  ☆287Updated 8 years ago
• amueller / ml-training-intro
  Materials for the "Introduction to Machine Learning" class
  ☆227Updated 7 years ago
• justmarkham / python-data-science-workshop
  Workshop: Python for Data Science
  ☆64Updated 11 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆249Updated 7 years ago
• rasbt / algorithms_in_ipython_notebooks
  A repository with IPython notebooks of algorithms implemented in Python.
  ☆514Updated 8 years ago