ppaquay / IntroStatLearningLinks
Solutions to exercises from the book "Introduction to Statistical Learning"
☆24Updated 10 years ago
Alternatives and similar repositories for IntroStatLearning
Users that are interested in IntroStatLearning are comparing it to the libraries listed below
Sorting:
- Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course☆263Updated 7 years ago
- Bayesian Learning course at Stockholm University☆156Updated this week
- Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.☆93Updated 7 years ago
- Materials for Bayesian Methods in Machine Learning Course☆90Updated last week
- Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA☆138Updated 8 years ago
- R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"☆129Updated 5 years ago
- An introduction to Bayesian statistics using Python and (coming soon) R.☆134Updated 2 years ago
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆106Updated 7 years ago
- Tools for The Book of Statistical Proofs☆93Updated 8 months ago
- Repository for CS282R: Robust Machine Learning at Harvard University.☆73Updated 7 years ago
- Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.☆20Updated 9 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Updated 2 years ago
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 6 years ago
- This repository contains R code for exercices and plots in the famous book.☆46Updated 2 years ago
- ☆73Updated 6 years ago
- Teaching repo for Applied Data Science @ Columbia, a project-based course for data science skills (statistical thinking, machine learning…☆185Updated last year
- 👩🏻🏫 Slides for OpenIntro Statistics☆104Updated 4 years ago
- Implementing MCMC sampling from scratch in R for various Bayesian models☆110Updated last year
- ☆38Updated 4 years ago
- Comparisons between best subset selection and other popular sparse regression estimators☆87Updated 2 years ago
- Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science☆78Updated this week
- Solutions for the practice problems☆147Updated 5 years ago
- Statistics lecture notes☆34Updated 9 years ago
- Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)☆290Updated 11 years ago
- ☆135Updated 3 years ago
- Companion package for the Coursera Statistics with R specialization☆73Updated 4 years ago
- ☆38Updated 6 years ago
- Train deepGLM with Matlab, R and Python☆27Updated 2 years ago
- ☆78Updated 8 years ago
- Introductory tutorial notebooks for learning data science, as part of the Data Science in Practice materials.☆81Updated 4 months ago