Alternatives and similar repositories for my-solutions-The-Elements-of-Statistical-Learning

Users that are interested in my-solutions-The-Elements-of-Statistical-Learning are comparing it to the libraries listed below

• stappit / all-of-statistics
  Solutions to Wasserman's 'All of Statistics'.
  ☆104Updated 6 years ago
• alanjeffares / elements-of-statistical-learning
  Documenting my progress as I work through The Elements of Statistical Learning book by T. Hastie, R. Tibshirani, and J. Friedman
  ☆57Updated 5 years ago
• dgkim5360 / the-elements-of-statistical-learning-notebooks
  Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…
  ☆288Updated 7 years ago
• kjytay / stanford-stats
  My notes from class
  ☆69Updated 7 years ago
• YuhangZhou88 / ESL_Solution
  ☆278Updated 2 years ago
• maxwass / all_of_statistics_solns
  Some worked exercises from Larry Wasserman's "All of Statistics"
  ☆41Updated 5 years ago
• jayelm / hoff-bayesian-statistics
  R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"
  ☆128Updated 5 years ago
• tengyuma / cs229m_notes
  ☆230Updated 2 years ago
• resteorts / modern-bayes
  Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science
  ☆74Updated 2 years ago
• imirzadeh / awesome-causal-inference
  A (concise) curated list of awesome Causal Inference resources.
  ☆239Updated 2 years ago
• ikinsella / AdvML-Fall-18
  A collection of useful files for the Advanced Machine Learning (GR5242) Fall 2018 course.
  ☆33Updated 6 years ago
• StatProofBook / StatProofBookTools
  Tools for The Book of Statistical Proofs
  ☆91Updated 6 months ago
• Dolores2333 / MATH5411
  All you need for MATH5411 Advanced Probability, 2020 Fall, HKUST, Lecturer BAO Zhigang.
  ☆55Updated 4 years ago
• dssg / MLinPractice
  Repository for ML in Practice Course at CMU (10-718)
  ☆64Updated last year
• MLaPP-Solution-Manual / Solutions-to-Machine-Learning-A-Probabilistic-Perspective-
  Solutions to "Machine Learning: A Probabilistic Perspective"
  ☆162Updated 4 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆95Updated 2 years ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 6 years ago
• Harvard-IACS / 2019-CS109B
  ☆62Updated 6 years ago
• jrfiedler / CASI_Python
  Python code for Computer Age Statistical Inference
  ☆52Updated 6 years ago
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆281Updated 4 years ago
• ZhuoruLin / DSGA1003_ML
  NYU Data Science Course DSGA-1003 Machine Learning Assignments.
  ☆31Updated 8 years ago
• AM207 / 2018fall
  ☆38Updated 4 years ago
• leiwu0 / course.math_theory_nn
  Summer course on mathematical theory of deep learning
  ☆52Updated 5 years ago
• tallamjr / barberbook
  Solutions for David Barber's "Bayesian Reasoning and Machine Learning" Book
  ☆19Updated 3 years ago
• bradyneal / causal-book-code
  ☆79Updated 4 years ago
• dimenwarper / awesome-bayes
  List of resources for bayesian inference
  ☆157Updated 6 years ago
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆135Updated 10 months ago
• TZstatsADS / ADS_Teaching
  Teaching repo for Applied Data Science @ Columbia, a project-based course for data science skills (statistical thinking, machine learning…
  ☆184Updated last year
• buruzaemon / IntroductionToProbabilityPy
  Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition
  ☆73Updated 6 years ago
• mmarouen / The-Elements-Of-Statistical-Learning
  This repository contains R code for exercices and plots in the famous book.
  ☆46Updated last year