Bayesian Modeling and Computation in Python

Last update: Jan 02, 2023

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Overview

Bayesian Modeling and Computation in Python

Open access and Code

This repository contains the open access version of the text and the code examples in the book. All of this can be more easily viewed at www.bayesiancomputationbook.com

See a mistake?

If you see any issues please create an issue on the issue tracker

Environment installation

To run the code you will need to install the correct packages in a computational environment. We have provided instructions below for common options.

Conda

conda env create -f environment.yml
conda activate bmcp

Colab

The book code can also be run using Google Colab. https://colab.research.google.com

More instructions to come soon

Owner

Bayesian Modeling and Computation in Python

Code, references and all material to accompany the text

GitHub Repository https://www.bayesiancomputationbook.com

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Bayesian Modeling and Computation in Python

Related tags

Overview

Bayesian Modeling and Computation in Python

Open access and Code

See a mistake?

Environment installation

Conda

Colab

Owner

Bayesian Modeling and Computation in Python

Binary Classification Problem with Machine Learning

A library of sklearn compatible categorical variable encoders

A scikit-learn based module for multi-label et. al. classification

Convoys is a simple library that fits a few statistical model useful for modeling time-lagged conversions.

Laporan Proyek Machine Learning - Azhar Rizki Zulma

MLOps pipeline project using Amazon SageMaker Pipelines

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

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