Alternatives and similar repositories for textbook

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

• davidrosenberg / ml2019
  DS-GA 1003: Machine Learning Course Webpage
  ☆15Updated 2 years ago
• DataForScience / CausalInference
  ☆94Updated 3 years ago
• 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
• 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…
  ☆60Updated 6 years ago
• nateGeorge / preprocess_lending_club_data
  Pre-processes lending club loan data and concatenates into one large file.
  ☆41Updated 6 years ago
• ljanastas / UC_Berkeley-Applied-Machine-Learning
  Materials for Applied Machine Learning Taught in Python
  ☆37Updated 2 years ago
• amit-sharma / splitdoor-causal-criterion
  A method for estimating causal effects in time-series data. Uses available data to automatically find natural experiments for identifying…
  ☆17Updated 5 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 6 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
  ☆75Updated 6 years ago
• benedekrozemberczki / spatiotemporal_datasets
  Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
  ☆61Updated last year
• jrfiedler / CASI_Python
  Python code for Computer Age Statistical Inference
  ☆51Updated 6 years ago
• Dolores2333 / MATH5411
  All you need for MATH5411 Advanced Probability, 2020 Fall, HKUST, Lecturer BAO Zhigang.
  ☆56Updated 4 years ago
• rjurney / weakly_supervised_learning_code
  The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
  ☆36Updated 5 years ago
• astonzhang / KDD19-tutorial
  KDD19 Tutorial: From Shallow to Deep Language Representations: Pre-training, Fine-tuning, and Beyond
  ☆64Updated 3 years ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 6 years ago
• sujitpal / keras-tutorial-odsc2020
  Notebooks for Keras Tutorial presented at ODSC West 2020
  ☆26Updated 5 years ago
• yishilin14 / causal_playground
  ☆18Updated 6 years ago
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆43Updated 6 years ago
• rrtucci / Bayesuvius
  a visual dictionary of Bayesian Networks and Causal Inference.
  ☆85Updated 2 months ago
• COGS18 / Materials
  Materials for Introduction to Python.
  ☆52Updated 6 months ago
• stappit / all-of-statistics
  Solutions to Wasserman's 'All of Statistics'.
  ☆104Updated 6 years ago
• StatProofBook / StatProofBookTools
  Tools for The Book of Statistical Proofs
  ☆95Updated last month
• d2l-ai / notebooks
  ☆69Updated 6 years ago
• QData / deep2Read
  https://qdata.github.io/deep2Read/ This website includes a (growing) list of papers and lectures we read on deep learning and relate…
  ☆54Updated last year
• cliburn / sta-663-2021
  Computational Statistics and Statistical Computing
  ☆37Updated 4 years ago
• robjhyndman / fpp3_slides
  Slides to accompany Forecasting: Principles and Practice, 3rd edition
  ☆77Updated last year
• AM207 / 2018fall
  ☆38Updated 4 years ago
• yc-ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆46Updated 5 years ago
• slds-lmu / iml_methods_limitations
  Seminar on Limitations of Interpretable Machine Learning Methods
  ☆57Updated 5 years ago
• as4456 / Leo_Krippner_SSR
  Contains Python code and files used to estimate shadow rate using Krippner's K-ANSM(2) with an estimated lower bound term structure model
  ☆15Updated 4 years ago