Alternatives and similar repositories for datasci_course_materials

Users that are interested in datasci_course_materials 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
• gumption / Python_for_Data_Science
  A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.
  ☆311Updated 4 years ago
• cs109 / 2014_data
  Data directory for the CS109 Data Science course
  ☆67Updated 10 years ago
• thedataincubator / ds30
  Data Science in 30 Minutes
  ☆84Updated 9 years ago
• jadianes / data-science-your-way
  Ways of doing Data Science Engineering and Machine Learning in R and Python
  ☆608Updated 4 years ago
• justmarkham / DAT7
  General Assembly's Data Science course in Washington, DC
  ☆234Updated last year
• booz-allen-hamilton / The-Field-Guide-to-Data-Science
  This is meant to be a Data Science resource for capturing the latest technology, expertise, and evolving techniques in Data Science.
  ☆342Updated 6 years ago
• learnml / machine-learning-specialization
  ☆576Updated 7 years ago
• spark-mooc / mooc-setup
  Information for setting up for the BerkeleyX Spark Intro MOOC, and lab assignments for the course
  ☆348Updated 4 years ago
• justmarkham / DAT4
  General Assembly's Data Science course in Washington, DC
  ☆798Updated 4 years ago
• oreillymedia / doing_data_science
  This is the example code repository for Doing Data Science by Cathy O'Neil and Rachel Schutt (O'Reilly Media)
  ☆490Updated 2 years ago
• bcaffo / LittleInferenceBook
  A book for the coursera statistical inference class
  ☆381Updated 3 years ago
• culturedbun / pandas-exercises
  Walkthrough exercises from PandasTutorial by Wes McKinney.
  ☆150Updated 4 years ago
• justmarkham / DAT3
  General Assembly's Data Science course in Washington, DC
  ☆664Updated 5 years ago
• rcompton / ml_cheat_sheet
  My notes and superstitions about common machine learning algorithms
  ☆367Updated 8 years ago
• justmarkham / DAT5
  General Assembly's Data Science course in Washington, DC
  ☆185Updated 2 years ago
• chrisclark / PythonForDataScience
  PythonForDataScience
  ☆155Updated 8 years ago
• jakevdp / sklearn_scipy2013
  Scikit-learn tutorials for the Scipy 2013 conference
  ☆324Updated 8 years ago
• sux13 / DataScienceSpCourseNotes
  Compiled Notes for all 9 courses in the Coursera Data Science Specialization
  ☆770Updated 3 years ago
• amueller / scipy_2015_sklearn_tutorial
  Scikit-Learn tutorial material for Scipy 2015
  ☆576Updated 9 years ago
• carljv / Will_it_Python
  Translating R Data Analyses to Python
  ☆279Updated 7 years ago
• corynissen / foodborne_classifier
  The classifier used in the http://foodborne.smartchicagoapps.org/ application.
  ☆239Updated 7 years ago
• jtleek / dataanalysis
  The lecture slides for Coursera's Data Analysis class
  ☆770Updated 9 years ago
• allanbreyes / udacity
  Archived work from Udacity nanodegrees
  ☆69Updated 3 years ago
• ipython-books / cookbook-code
  [DEPRECATED] See the new edition:
  ☆973Updated 7 years ago
• turi-code / tutorials
  This repository contains materials for demos, tutorials, and talks by Dato Inc.
  ☆172Updated 9 years ago
• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆611Updated 4 years ago
• trevorstephens / titanic
  Getting Started With R
  ☆233Updated 11 years ago
• jakevdp / sklearn_pydata2015
  Scikit-Learn Tutorial for PyData Seattle 2015
  ☆136Updated 10 years ago
• amitkaps / weed
  Analysing Weed Pricing across US - Data Analysis Workshop
  ☆129Updated 8 years ago