Alternatives and similar repositories for textbook

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

• feng-li / Distributed-Statistical-Computing
  Teaching Materials for Distributed Statistical Computing (大数据分布式计算教学材料)
  ☆108Updated last year
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆44Updated 6 years ago
• davidrosenberg / ml2019
  DS-GA 1003: Machine Learning Course Webpage
  ☆15Updated 2 years ago
• AM207 / 2018spring
  ☆4Updated 7 years ago
• nateGeorge / preprocess_lending_club_data
  Pre-processes lending club loan data and concatenates into one large file.
  ☆40Updated 5 years ago
• bradyneal / causal-inference-books
  Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…
  ☆59Updated 5 years ago
• tracholar / economics-data
  经济学数据
  ☆10Updated 3 years ago
• rrtucci / Bayesuvius
  a visual dictionary of Bayesian Networks and Causal Inference.
  ☆84Updated 2 weeks ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 6 years ago
• fw307 / high_dimensional_regression_comparison
  Empirical comparison of penalized linear regression in high-dimensional settings
  ☆12Updated 5 years ago
• ljanastas / UC_Berkeley-Applied-Machine-Learning
  Materials for Applied Machine Learning Taught in Python
  ☆37Updated 2 years ago
• cliburn / sta-663-2021
  Computational Statistics and Statistical Computing
  ☆37Updated 4 years ago
• yishilin14 / causal_playground
  ☆17Updated 5 years ago
• COGS18 / Materials
  Materials for Introduction to Python.
  ☆52Updated 2 months ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 5 years ago
• buruzaemon / IntroductionToProbabilityPy
  Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition
  ☆74Updated 6 years ago
• AM207 / 2018fall
  ☆38Updated 4 years ago
• DataForScience / CausalInference
  ☆94Updated 3 years ago
• Dolores2333 / MATH5411
  All you need for MATH5411 Advanced Probability, 2020 Fall, HKUST, Lecturer BAO Zhigang.
  ☆55Updated 4 years ago
• jrfiedler / CASI_Python
  Python code for Computer Age Statistical Inference
  ☆52Updated 6 years ago
• hammadshaikhha / Causal-Inference-Mastery
  Notes and simulations on graduate level causal inference in statistics with applications to social sciences.
  ☆23Updated 6 years ago
• StatProofBook / StatProofBookTools
  Tools for The Book of Statistical Proofs
  ☆91Updated 6 months ago
• feng-li / Python-for-Statisticians-and-Economists
  Feng Li's Python Course for Statisticians and Economists
  ☆14Updated last year
• kjytay / stanford-stats
  My notes from class
  ☆70Updated 7 years ago
• ChicagoBoothML / ML2016
  BUS 41204: Machine Learning -- Winter 2016
  ☆11Updated 8 years ago
• rjurney / weakly_supervised_learning_code
  The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
  ☆36Updated 4 years ago
• stappit / all-of-statistics
  Solutions to Wasserman's 'All of Statistics'.
  ☆104Updated 6 years ago
• yuyingfeng / QuantFin
  ☆23Updated 2 years ago
• slds-lmu / iml_methods_limitations
  Seminar on Limitations of Interpretable Machine Learning Methods
  ☆57Updated 4 years ago
• ucb-stat243 / stat243-fall-2016
  Course materials for Stat 243, fall 2016, at UC Berkeley
  ☆9Updated 8 years ago