wbasener / BayesianMLLinks
This is a GitHub repository for our Bayeisan Machine Learning textbook, which includes the PDF for the book and accompanying Python notebooks.
☆24Updated 2 years ago
Alternatives and similar repositories for BayesianML
Users that are interested in BayesianML are comparing it to the libraries listed below
Sorting:
- Codes for case studies for the Bekes-Kezdi Data Analysis textbook☆224Updated last week
- Econometrics cheat sheets with a concise review of the subject, going from the basics of an econometric model to the solution of the most…☆153Updated last month
- Code and examples from Business Data Science☆171Updated 4 years ago
- Code for 'The Art of Statistics'☆522Updated 4 years ago
- A set of notebooks the provide an introduction to Python.☆105Updated 3 months ago
- Regression and other stories R examples☆347Updated 6 months ago
- 📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)☆510Updated last month
- Code from "Introduction to Python for Econometrics, Statistics and Data Analysis" by Kevin Sheppard☆84Updated 4 years ago
- ☆220Updated 3 years ago
- Solutions to exercises from Introduction to Statistical Learning (ISLR 1st Edition)☆177Updated 3 years ago
- ☆118Updated 3 years ago
- This is a coding course in Python to accompany the Data Analysis material☆113Updated 3 years ago
- Handbook of Regression Modeling in People Analytics☆167Updated 2 weeks ago
- Python for Data Science. This repository hosts the code behind the online book that teaches you how to use Python for data science.☆154Updated 3 months ago
- Applied Time Series Analysis and Forecasting☆169Updated 2 years ago
- The official R data package for "Introductory Econometrics: A Modern Approach". A vignette contains example models from each chapter.☆221Updated 11 months ago
- Provides a half day introduction to grammar of graphics☆11Updated 2 years ago
- Bayesian Data Analysis demos for R☆586Updated 2 months ago
- Figures and code examples from Bayesian Analysis with Python (third edition)☆220Updated 3 months ago
- Machine Learning and Causal Inference taught by Brigham Frandsen☆217Updated last month
- Bayesian statistics graduate course☆360Updated 3 weeks ago
- Fundamental Python workshop, proudly presented by the UCL Data Science Society☆47Updated 4 years ago
- This is the repository for the slides used in the Seattle University Econometrics course☆157Updated 6 months ago
- Testing hypotheses through statistical models opens a universe of new possibilities. Learn how to improve your daily work with this appro …☆84Updated 2 years ago
- Data and Program files for Causal Inference: The Mixtape☆440Updated last week
- Notebooks for https://python.quantecon.org☆238Updated last week
- Hands-On-Time-Series-Analysis-with-R☆119Updated 2 years ago
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆107Updated 2 months ago
- Porting an OpenBUGS/MATLAB-based Bayesian statistics course to Python/PyMC.☆30Updated 2 weeks ago
- All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman …☆150Updated 2 months ago