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
☆56Updated 4 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
- This repository contains R code for exercices and plots in the famous book.☆46Updated last year
- My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.☆90Updated 5 years ago
- My notes from class☆64Updated 6 years ago
- Computational Statistics and Statistical Computing☆36Updated 3 years ago
- R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"☆127Updated 5 years ago
- Solutions to exercises from Introduction to Statistical Learning (ISLR 1st Edition)☆176Updated 2 years ago
- Python code for Computer Age Statistical Inference☆52Updated 5 years ago
- Slides to accompany Forecasting: Principles and Practice, 3rd edition☆73Updated last year
- STAT GR5241 Statistical Machine Learning taught by Professor Linxi Liu. Here I also include some other sources of machine learning materi…☆7Updated 6 years ago
- Self study on Cryer and Chan's "Time series analysis with applications in R"☆37Updated 4 years ago
- Solutions to Wasserman's 'All of Statistics'.☆104Updated 5 years ago
- Lecture Notes on Statistical Inference☆76Updated 5 months ago
- Materials Collection for Causal Inference☆45Updated last year
- Statistical Inference Course☆41Updated 3 months ago
- Solutions to "An Introduction to Statistical Learning with Applications in R second edition"☆123Updated 2 months ago
- Course materials for Advanced Topics in Statistical Learning, Spring 2023☆46Updated 4 months ago
- A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.☆112Updated 3 years ago
- Bayesian Statistics-Econometrics☆84Updated 9 months ago
- This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in t…☆12Updated last year
- The unofficial solutions to An Introduction to Statistical Learning with Applications in R (ISLR)☆9Updated 5 years ago
- Collection of lecture notes and excercises for a course "Machine Learning in Econometrics"☆22Updated 8 years ago
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆89Updated 10 months ago
- Notebooks for Applied Causal Inference Powered by ML and AI☆109Updated this week
- Hands-On-Time-Series-Analysis-with-R☆110Updated 2 years ago
- An scrappeR of Springer books☆41Updated 9 years ago
- A set of notebooks the provide an introduction to Python.☆97Updated last year
- ☆9Updated 3 years ago
- Solutions and code examples from An Introduction to Statistical Learning (Second Edition) by James, Witten, Hastie, and Tibshirani.☆18Updated 2 years ago
- DS-GA 3001: Tools and Techniques for Machine Learning (NYU Fall 2021)☆45Updated last year