Alternatives and similar repositories for Statistical_Learning_With_Python

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

• jonathanrocher / pandas_tutorial
  Pandas tutorial for SciPy2015 and SciPy2016 conference
  ☆142Updated 8 years ago
• TomAugspurger / PyDataSeattle
  For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8
  ☆116Updated 4 years ago
• AllenDowney / CompStats
  Code for a workshop on statistical interference using computational methods in Python.
  ☆226Updated 4 years ago
• profjsb / python-seminar
  Python for Data Science (Seminar Course at UC Berkeley; AY 250)
  ☆332Updated 3 years ago
• chendaniely / scipy_2017_notes
  Links and notes for SciPy 2017
  ☆59Updated 8 years ago
• jbwhit / jupyter-tips-and-tricks
  Using Project Jupyter for data science.
  ☆258Updated 4 years ago
• jakevdp / JupyterWorkflow
  Reproducible Data Analysis Workflow in Jupyter
  ☆118Updated 7 years ago
• gjreda / pydata2014nyc
  Materials for my pandas tutorial at PyData 2014, NYC
  ☆111Updated 10 years ago
• croach / oreilly-matplotlib-course
  Jupyter notebooks from my O'Reilly Media course "Matplolib for Developers: Data Visualization and Analysis with Python"
  ☆140Updated 8 years ago
• chdoig / scipy2015-blaze-bokeh
  Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015
  ☆144Updated 10 years ago
• culturedbun / pandas-exercises
  Walkthrough exercises from PandasTutorial by Wes McKinney.
  ☆150Updated 5 years ago
• jreback / PyDataNYC2015
  PyData NYC 2015 conference
  ☆94Updated 10 years ago
• UWSEDS / LectureNotes
  Lecture content for UW Software Engineering for Data Scientists
  ☆102Updated 2 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.
  ☆317Updated 5 years ago
• jakevdp / sklearn_pydata2015
  Scikit-Learn Tutorial for PyData Seattle 2015
  ☆136Updated 10 years ago
• stitchfix / d3-jupyter-tutorial
  ☆195Updated 6 months ago
• drivendata / data-science-is-software
  ☆317Updated 4 years ago
• fonnesbeck / scipy2014_tutorial
  Tutorial: Bayesian Statistical Analysis in Python
  ☆321Updated 6 years ago
• klq / python-webscrapes
  This repo contains materials of my talk at PyData Seattle 2017
  ☆19Updated 8 years ago
• fonnesbeck / scipy2015_tutorial
  Computational Statistics II Tutorial at SciPy 2015
  ☆48Updated 10 years ago
• joelgrus / stupid-itertools-tricks-pydata
  code for my "stupid itertools tricks" talk from pydata seattle 2015
  ☆153Updated 9 years ago
• TomAugspurger / pydata-chi-h2t
  Materials for the pandas tutorial at PyData Chicago 2016
  ☆56Updated 5 years ago
• sarguido / hands-on-analysis-python
  PyCon 2015
  ☆141Updated 4 years ago
• jreback / pydata2015-london
  ☆21Updated 10 years ago
• jcbozonier / PyData2015
  ☆41Updated 10 years ago
• wrobstory / pydataseattle2015
  PyData Seattle 2015: Python Data Bikeshed
  ☆127Updated 10 years ago
• justmarkham / DAT7
  General Assembly's Data Science course in Washington, DC
  ☆233Updated last year
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆169Updated 5 years ago
• thedataincubator / ds30
  Data Science in 30 Minutes
  ☆84Updated 9 years ago
• jseabold / 538model
  538 Election Forecasting Model
  ☆306Updated 9 years ago