Alternatives and similar repositories for textbook

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

• data-8 / textbook
  The textbook Computational and Inferential Thinking: The Foundations of Data Science
  ☆869Updated 11 months ago
• data-8 / data8assets
  Assets for data8.org
  ☆111Updated 9 months ago
• AllenDowney / BiteSizeBayes
  An introduction to Bayesian statistics using Python and (coming soon) R.
  ☆134Updated last year
• merely-useful / py-rse
  Research Software Engineering with Python course material
  ☆254Updated 7 months ago
• cliburn / Computational-statistics-with-Python
  Resources for STA 633 class
  ☆169Updated 8 years ago
• inferentialthinking / inferentialthinking.github.io
  Contents of inferentialthinking.com
  ☆31Updated 11 months ago
• AllenDowney / BayesMadeSimple
  Code for a tutorial on Bayesian Statistics by Allen Downey.
  ☆354Updated 4 years ago
• parrt / msds501
  Course notes for MSDS501, computational boot camp, at the University of San Francisco
  ☆124Updated 3 years ago
• EricSchles / datascience_book
  ☆133Updated last year
• reshamas / ds_resources
  Data Science Resources
  ☆79Updated 4 months 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
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning-2E
  Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
  ☆361Updated 3 years ago
• AllenDowney / ElementsOfDataScience
  An introduction to data science in Python, for people with no programming experience.
  ☆436Updated 2 months ago
• emredjan / ISL-python
  Porting the R code in ISL to python. Labs and exercises
  ☆199Updated 2 years ago
• jalammar / pandas-intro
  Basic notebook introducing pandas functionality
  ☆43Updated 6 years ago
• khanhnamle1994 / statistical-learning
  Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
  ☆260Updated 7 years ago
• stappit / all-of-statistics
  Solutions to Wasserman's 'All of Statistics'.
  ☆104Updated 6 years ago
• amueller / COMS4995-s19
  COMS W4995 Applied Machine Learning - Spring 19
  ☆302Updated 5 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆247Updated 3 years ago
• statsthinking21 / statsthinking21
  Main web site for Statistical Thinking for the 21st Century
  ☆109Updated 2 years ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 6 years ago
• chendaniely / scipy-2019-pandas
  Pandas tutorial for SciPy 2019
  ☆101Updated last year
• pabloinsente / math-app-ml
  Essential mathematics for applied machine learning and data science
  ☆76Updated 3 years ago
• Foundations-of-Applied-Mathematics / Student-Materials
  Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/
  ☆53Updated 11 months ago
• rasbt / stat451-machine-learning-fs20
  STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
  ☆429Updated 10 months ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆66Updated 5 years ago
• igormilovanovic / python-data-viz-cookbook
  Python Data Visualization Cookbook resources
  ☆33Updated 11 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆327Updated last year
• chendaniely / pandas_for_everyone
  Repository to accompany "Pandas for Everyone"
  ☆413Updated 6 years ago
• engineersCode / EngComp4_landlinear
  Using computational thinking to get deep insights on the foundations of linear algebra
  ☆114Updated 3 months ago