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

Collection of notebooks on time series analysis, including regression, Bayesian hypotheses, and stochastic analysis.

Free notebooks & app for Monte Carlo, Causal, Bayes, Survival Analysis and turning security data into decisions.

Notes about Statistical Rethinking | Richard McElreath

A Python-based data analysis project using Jupyter Notebook, featuring classical and Bayesian inference methods applied to real-world datasets for statistical modeling, hypothesis testing, and portfolio optimization.

UXToolbox ist eine Sammlung von Jupyter Notebooks mit Tools für UX- und Human Factors-Analysen – inkl. statistischer Tests, Vorhersagemodelle und Bayesscher Verfahren. Sie basiert auf der R-UXToolbox von Mohsen Rafiei und wurde von mir um eigene Werkzeuge wie eine KI-Sentiment-Analyse erweitert.