alanjeffares / elements-of-statistical-learningLinks
Documenting my progress as I work through The Elements of Statistical Learning book by T. Hastie, R. Tibshirani, and J. Friedman
☆59Updated 5 years ago
Alternatives and similar repositories for elements-of-statistical-learning
Users that are interested in elements-of-statistical-learning are comparing it to the libraries listed below
Sorting:
- My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.☆90Updated 6 years ago
- This repository contains R code for exercices and plots in the famous book.☆46Updated last year
- Solutions to exercises from Introduction to Statistical Learning (ISLR 1st Edition)☆177Updated 2 years ago
- R code for Time Series Analysis and Its Applications, Ed 4☆161Updated last week
- Python code for Computer Age Statistical Inference☆52Updated 6 years ago
- Complete solutions & exercises for "An Introduction to Statistical Learning with Applications in R second edition"☆139Updated 7 months ago
- Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science☆78Updated this week
- An Introduction to Statistical Learning with Applications in R☆60Updated 10 years ago
- ☆278Updated 2 years ago
- Slides to accompany Forecasting: Principles and Practice, 3rd edition☆75Updated last year
- R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"☆128Updated 5 years ago
- Student Solutions to An Introduction to Statistical Learning with Applications in R☆206Updated 4 years ago
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆336Updated last year
- Hands-On-Time-Series-Analysis-with-R☆118Updated 2 years ago
- Self study on Cryer and Chan's "Time series analysis with applications in R"☆39Updated 5 years ago
- Computational Statistics and Statistical Computing☆37Updated 4 years ago
- python implementation of Peng Ding's "First Course in Causal Inference"☆171Updated last year
- My notes from class☆71Updated 7 years ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆900Updated 4 years ago
- A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.☆115Updated 3 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆416Updated 3 years ago
- Forecasting: Principles and Practice (2nd ed)☆53Updated 7 years ago
- Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.☆192Updated this week
- qrm☆238Updated 2 years ago
- Solutions and workflow for the Bayesian Statistics The Fun Way book in Python☆74Updated last year
- Solutions to Wasserman's 'All of Statistics'.☆104Updated 6 years ago
- Machine-Learning-with-R-Third-Edition, published by Packt☆121Updated 3 months ago
- Solutions for selected exercises from the book "Statistical Computing with R" by Maria L. Rizzo☆39Updated 8 years ago
- Repo for Statistical Learning course offered by Stanford University☆50Updated 6 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆292Updated 7 years ago