Alternatives and similar repositories for ds30

Users that are interested in ds30 are comparing it to the libraries listed below

• cs109 / 2014
  Official content for the Fall 2014 Harvard CS109 Data Science course
  ☆318Updated 8 years ago
• culturedbun / pandas-exercises
  Walkthrough exercises from PandasTutorial by Wes McKinney.
  ☆150Updated 5 years ago
• turi-code / tutorials
  This repository contains materials for demos, tutorials, and talks by Dato Inc.
  ☆172Updated 9 years ago
• jakevdp / sklearn_pydata2015
  Scikit-Learn Tutorial for PyData Seattle 2015
  ☆136Updated 10 years ago
• thedataincubator / ds30_5
  Data Science in 30 Minutes #5: Spark
  ☆19Updated 8 years ago
• podopie / DAT18NYC
  General Assembly repo for Data Science 18
  ☆36Updated 10 years ago
• justmarkham / DAT7
  General Assembly's Data Science course in Washington, DC
  ☆234Updated last year
• DataTau / datascience-anthology-pydata
  PyData, The Complete Works of
  ☆298Updated 8 years ago
• cs109 / 2014_data
  Data directory for the CS109 Data Science course
  ☆67Updated 10 years ago
• TomAugspurger / PyDataSeattle
  For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8
  ☆116Updated 4 years ago
• bllchmbrs / data_analysis_with_python_and_pandas
  The Code belonging to my course "Data Analysis in Python and pandas"
  ☆68Updated 10 years ago
• jonathanrocher / pandas_tutorial
  Pandas tutorial for SciPy2015 and SciPy2016 conference
  ☆142Updated 8 years ago
• uwescience / datasci_course_materials
  Public repository for course materials for the Data Science at Scale Specialization at Coursera
  ☆924Updated 3 years ago
• gjreda / pydata2014nyc
  Materials for my pandas tutorial at PyData 2014, NYC
  ☆111Updated 10 years ago
• gumption / Python_for_Data_Science
  A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.
  ☆315Updated 5 years ago
• mGalarnyk / Installations_Mac_Ubuntu_Windows
  Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).
  ☆236Updated 2 years ago
• mbernico / CS570
  Code for CS570, Essentials of Data Science
  ☆109Updated 8 years ago
• justmarkham / pydata-dc-2016-tutorial
  Tutorial: Machine Learning with Text in scikit-learn
  ☆74Updated 8 years ago
• amueller / applied_ml_spring_2017
  Website and material for the FIXME course on Practical Machine Learning
  ☆88Updated 7 years ago
• rcompton / ml_cheat_sheet
  My notes and superstitions about common machine learning algorithms
  ☆366Updated 8 years ago
• justmarkham / DAT5
  General Assembly's Data Science course in Washington, DC
  ☆185Updated 3 years ago
• jseabold / depy
  DePy 2015 Talk
  ☆117Updated 7 years ago
• carljv / Will_it_Python
  Translating R Data Analyses to Python
  ☆280Updated 7 years ago
• ogrisel / sklearn_pycon2014
  Repository containing files for my PyCon 2014 scikit-learn tutorial.
  ☆59Updated 11 years ago
• sampathweb / odsc-feature-engineering-talk
  Feature Engineering with Pipeline Talk at ODSC West 2016, Santa Clara
  ☆17Updated 8 years ago
• spark-mooc / mooc-setup
  Information for setting up for the BerkeleyX Spark Intro MOOC, and lab assignments for the course
  ☆347Updated 4 years ago
• jbwhit / jupyter-tips-and-tricks
  Using Project Jupyter for data science.
  ☆259Updated 4 years ago
• gkamradt / Zipfian-GSchool
  12 Week Data Science Immersive
  ☆27Updated 10 years ago
• wehrley / wehrley.github.io
  ☆158Updated 8 years ago
• sujitpal / statlearning-notebooks
  Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
  ☆378Updated 10 years ago