Alternatives and similar repositories for ESL_Solution

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

• kjytay / stanford-stats
  My notes from class
  ☆69Updated 7 years ago
• kellty / multiSTAT
  Applied Multivariate Statistical Analysis | PKU 2019 Fall
  ☆89Updated 3 years ago
• cxh1996108 / Probability-Theory-and-Examples-5th-edition
  Solution and Useful Links
  ☆55Updated 3 years ago
• kellty / StatModel
  Statistical Modeling and Methods | PKU 2020 Spring
  ☆55Updated 3 years ago
• stxupengyu / Stochastic-Process-Ross-2nd-edition
  Here is the exercise solution of stochastic process Ross 2nd Edition collected by the author. The answers are from the stochastic process…
  ☆34Updated 4 years ago
• tengyuma / cs229m_notes
  ☆229Updated 2 years ago
• wangyt95 / LinearRegression-Notes
  For sharing purposes
  ☆27Updated last year
• talwarabhimanyu / my-solutions-The-Elements-of-Statistical-Learning
  My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.
  ☆90Updated 6 years ago
• onmee / ISLR-Answers
  Solutions to exercises from Introduction to Statistical Learning (ISLR 1st Edition)
  ☆177Updated 2 years ago
• statmlben / CUHK-STAT3009
  Recommender systems in Python
  ☆27Updated 5 months ago
• Dolores2333 / MATH5431
  All you need for MATH5431 Advanced Statistics I, 2020 Fall, HKUST, Lecturer JING Bingyi
  ☆31Updated 4 years ago
• callmespring / RL-short-course
  Reinforcement Learning Short Course
  ☆64Updated 6 months ago
• MLaPP-Solution-Manual / Solutions-to-Machine-Learning-A-Probabilistic-Perspective-
  Solutions to "Machine Learning: A Probabilistic Perspective"
  ☆162Updated 4 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
• apoorvalal / ding_causalInference_python
  python implementation of Peng Ding's "First Course in Causal Inference"
  ☆165Updated last year
• Zhenyu-LIAO / RMT4ML
  Matlab Notebook for visualizing random matrix theory results and their applications to machine learning
  ☆121Updated 2 years ago
• zhengqigao / PRML-Solution-Manual
  My Own Solution Manual of PRML
  ☆985Updated 4 years ago
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆133Updated 9 months ago
• onepounchman / ISLR-Exercises-Solutions
  The unofficial solutions to An Introduction to Statistical Learning with Applications in R (ISLR)
  ☆9Updated 5 years ago
• resteorts / modern-bayes
  Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science
  ☆74Updated 2 years ago
• telmo-correa / all-of-statistics
  Self-study on Larry Wasserman's "All of Statistics"
  ☆1,103Updated 2 years ago
• Phutoast / UCL-CSML-Notes
  My lecture notes during times at UCL.
  ☆31Updated 3 years ago
• CausalDM / Causal-Decision-Making
  ☆33Updated 2 weeks ago
• lujiazho / MachineLearningPlayground
  Implementation of basic mathematical pattern recognition/machine learning techniques for fun
  ☆123Updated 2 years ago
• LeqiXu / Yale-Notes
  ☆16Updated last year
• leiwu0 / course.math_theory_nn
  Summer course on mathematical theory of deep learning
  ☆52Updated 5 years ago
• bangoz / Semiparametric-Models-2022-Spring
  Course Materials
  ☆12Updated 3 years ago
• empathy87 / The-Elements-of-Statistical-Learning-Python-Notebooks
  A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
  ☆891Updated 3 years ago
• rphilipzhang / AI-PhD-S24
  Mono repo for the PhD course AI for Business Research (DSME 6635, S24)
  ☆106Updated 5 months ago
• konnerthg / statistical-computing-with-r
  Solutions for selected exercises from the book "Statistical Computing with R" by Maria L. Rizzo
  ☆39Updated 7 years ago