MikeS96 / bayes_statististicsLinks
Bayesian Statistics MOOC by Coursera - Solutions in Python
☆32Updated last year
Alternatives and similar repositories for bayes_statististics
Users that are interested in bayes_statististics are comparing it to the libraries listed below
Sorting:
- Bayesian Analysis with Python - Second Edition, published by Packt☆137Updated 4 years ago
- ☆558Updated last year
- Figures and code examples from Bayesian Analysis with Python (third edition)☆230Updated 4 months ago
- My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.☆74Updated last year
- PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3☆161Updated 5 years ago
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆273Updated 3 years ago
- ☆240Updated 7 years ago
- Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the how☆72Updated 6 years ago
- Solutions and workflow for the Bayesian Statistics The Fun Way book in Python☆75Updated 2 years ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆72Updated 3 months ago
- Bayesian Analysis with Python by Packt☆221Updated 2 years ago
- Bayesian Analysis with Python (Second Edition)☆676Updated 2 years ago
- ☆45Updated 5 years ago
- A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)☆165Updated 4 years ago
- Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.☆187Updated last year
- ☆234Updated 4 years ago
- legend☆208Updated 2 years ago
- Machine Learning for Time-Series with Python.Published by Packt☆306Updated 3 weeks ago
- Tutorial Sessions for SciPy Con 2019☆278Updated last month
- ☆151Updated 4 years ago
- ☆39Updated 7 years ago
- Examples of PyMC models, including a library of Jupyter notebooks.☆361Updated last week
- Implementation of Markov Chain Monte Carlo in Python from scratch☆226Updated 5 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆217Updated 3 weeks ago
- Code related to my YouTube vids!☆249Updated 11 months ago
- A resource list for causality in statistics, data science and physics☆267Updated 2 months ago
- Practical Guide to Applied Conformal Prediction, published by Packt☆195Updated 2 months ago
- Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling☆58Updated 7 years ago
- workshops☆12Updated 2 years ago
- Following along with Statistical Rethinking text on Bayesian modeling by McElreath☆68Updated 5 years ago