A collection of Bayesian data analysis recipes using PyMC3
This is a GitHub repository for our Bayeisan Machine Learning textbook, which includes the PDF for the book and accompanying Python notebooks.
Notebooks for Bayesian Foundations (Course 1)
「データ解析のための統計モデリング入門」のJulia版Jupyter Notebook
Notebooks for Advanced Statistical Inference(ASI) course at EURECOM
Using Kaggle Notebook to run code in Statistical Rethinking
Notebooks about Bayesian methods for machine learning and counterfactual reasoning.
Colab notebooks written for the ai course
Collab Notebook Learned and Implemented During Spring 2024
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Notebooks to classify the Palmer's penguin dataset using PyMC3
Notes about Statistical Rethinking | Richard McElreath
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