Alternatives and similar repositories for ColumbiaX-Statistical-Thinking-for-Data-Science

Users that are interested in ColumbiaX-Statistical-Thinking-for-Data-Science are comparing it to the libraries listed below

• gapatino / Doing-frequentist-statistics-with-Scipy
  Repository for the PyData DC 2016 tutorial
  ☆29Updated 9 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
• szilard / teach-data-science-UCLA-master-appl-stats
  Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA
  ☆137Updated 8 years ago
• rlabbe / statistical-rethinking
  Notebooks containing R code from Richard McElreath's Statistical Rethinking
  ☆71Updated 9 years ago
• jcbozonier / PyData2015
  ☆41Updated 10 years ago
• jfpuget / Tidy-Data
  Python code for Hadley Whickham's article on Tidy Data.
  ☆35Updated 9 years ago
• TomAugspurger / PyDataSeattle
  For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8
  ☆116Updated 4 years ago
• mdagost / pug_classifier
  Deep Learning for Pugs
  ☆74Updated 8 years ago
• thedataincubator / practical-ml
  ☆24Updated 7 years ago
• justmarkham / pydata-dc-2016-tutorial
  Tutorial: Machine Learning with Text in scikit-learn
  ☆74Updated 9 years ago
• gjreda / pydata2014nyc
  Materials for my pandas tutorial at PyData 2014, NYC
  ☆111Updated 10 years ago
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 8 years ago
• HireSmarter / churn201
  Simple employee cost/benefit model with plots. Supports a series of blog entries.
  ☆70Updated 11 years ago
• SethHWeidman / ODSC_Neural_Nets_11-04-17
  Talk "Deep Learning From Scratch Using Python" delivered at ODSC West on November 4, 2017
  ☆32Updated 7 years ago
• jakevdp / sklearn_pydata2015
  Scikit-Learn Tutorial for PyData Seattle 2015
  ☆136Updated 10 years ago
• tdpetrou / Book-Reviews
  ☆26Updated 7 years ago
• trevorstephens / titanic
  Getting Started With R
  ☆233Updated 11 years ago
• ojedatony1616 / exploratory_transformation
  Repository for exploratory data transformation & visualization talk
  ☆27Updated 9 years ago
• amueller / applied_ml_spring_2017
  Website and material for the FIXME course on Practical Machine Learning
  ☆88Updated 7 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• jphall663 / GWU_data_mining
  Materials for GWU DNSC 6279 and DNSC 6290.
  ☆240Updated 5 months ago
• mds47 / time-series-workshop
  ☆31Updated 7 years ago
• carljv / Will_it_Python
  Translating R Data Analyses to Python
  ☆280Updated 7 years ago
• jbwhit / data-science-teams
  Miscellaneous Jupyter Notebooks for my course.
  ☆24Updated 9 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• tdhopper / intro-to-scikit-learn
  Materials for talk on scikit-learn
  ☆28Updated 10 years ago
• datacamp / datacamp_facebook_live_nlp
  DataCamp Facebook Live Code Along Session 1: Enjoy.
  ☆127Updated 7 years ago
• InseadDataAnalytics / INSEADAnalytics
  ☆123Updated 2 years ago
• UWSEDS / LectureNotes
  Lecture content for UW Software Engineering for Data Scientists
  ☆102Updated 2 years ago
• mmmayo13 / scikit-learn-beginners-tutorials
  Abridged implementation of the official scikit-learn beginner tutorials
  ☆51Updated 9 years ago