stappit / all-of-statisticsLinks
Solutions to Wasserman's 'All of Statistics'.
☆104Updated 6 years ago
Alternatives and similar repositories for all-of-statistics
Users that are interested in all-of-statistics are comparing it to the libraries listed below
Sorting:
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆293Updated 7 years ago
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 6 years ago
- Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition☆74Updated 6 years ago
- My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.☆90Updated 6 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆135Updated 5 years ago
- This repo documents some of my drafted solutions to the exercises from All of Statistics by Larry Wasserman. This repo only contains solu…☆18Updated 6 years ago
- ☆62Updated 6 years ago
- ☆38Updated 4 years ago
- Repository for CS282R: Robust Machine Learning at Harvard University.☆73Updated 7 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Updated 2 years ago
- List of resources for bayesian inference☆157Updated 6 years ago
- Resources for STA 633 class☆169Updated 8 years ago
- ☆45Updated 5 years ago
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆106Updated 7 years ago
- An introduction to Bayesian statistics using Python and (coming soon) R.☆134Updated 2 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆247Updated 3 years ago
- Introductory overview of Bayesian inference☆43Updated 6 years ago
- Machine learning course materials.☆574Updated last year
- Bayesian Analysis with Python by Packt☆219Updated 2 years ago
- ☆73Updated 6 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆419Updated last week
- Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…☆60Updated 5 years ago
- Applied Probability Theory for Everyone☆118Updated last year
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆272Updated 3 years ago
- ☆94Updated 3 years ago
- Solutions to the exercises in Grinstead and Snell's Introduction to Probability☆91Updated 2 years ago
- Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.☆93Updated 7 years ago
- Student Solutions to An Introduction to Statistical Learning with Applications in R☆207Updated 4 years ago
- Personal repository of data science demonstrations and references☆77Updated 2 years ago
- R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"☆129Updated 5 years ago