Alternatives and similar repositories for Tutorials

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

• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆39Updated 2 years ago
• docker-for-data-science / docker-for-data-science-tutorial
  Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
  ☆156Updated 5 years ago
• lesteve / euroscipy-2019-scikit-learn-tutorial
  ☆28Updated 5 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated last year
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆105Updated 3 years ago
• deniederhut / Pandas-Tutorial-SciPyConf-2018
  ☆48Updated 7 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆49Updated 2 years ago
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆50Updated 7 years ago
• canyon289 / PyTestforDataScience_PyDataLA
  Pytest for Data Science Beginners
  ☆59Updated 7 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆32Updated last year
• tdpetrou / Advent-of-Code-Pandas
  ☆22Updated 2 years ago
• bgweber / DS_Production
  ☆155Updated 5 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆163Updated 5 years ago
• amueller / ml-workshop-2-of-4
  Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
  ☆128Updated 4 years ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆120Updated 5 years ago
• vaexio / dash-120million-taxi-app
  Explore 120 million taxi trips in real time with Dash and Vaex
  ☆117Updated 5 years ago
• tdpetrou / pandas_cub
  Learn how to build a data analysis library from scratch
  ☆207Updated 3 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆143Updated 5 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆98Updated 6 years ago
• dennisbakhuis / Tutorials
  Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
  ☆56Updated 4 years ago
• alysivji / talks
  Code, slides, and documentation for the talks I have given.
  ☆113Updated 4 months ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆67Updated 5 years ago
• theengineeringworld / statistics-using-python
  These files are part of Youtube Course "Statistics Using Python" Offered By The Engineering WOrld. Offered By: http://youtube.com/theengi…
  ☆47Updated 6 years ago
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 7 years ago
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 6 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 5 years ago
• yoonkanglow / Causal-Impact-Analysis-Demo
  ☆26Updated 7 years ago
• tdpetrou / Minimally-Sufficient-Pandas
  There are always multiple ways to complete a task in Pandas. A minimal subset of the library is sufficient for almost everything.
  ☆89Updated 3 years ago