Python code for "Probabilistic Machine learning" book by Kevin Murphy
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Updated
Jun 13, 2024 - Jupyter Notebook
Python code for "Probabilistic Machine learning" book by Kevin Murphy
A site that displays up to date COVID-19 stats, powered by fastpages.
School activities on application of Bayesian Statistics in Python.
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Marketing Mixed Modelling using PyMC3-Marketing
Bayesian inference using the No-U-Turn sampler.
Bayesian Machine Learning with PYMC3. Data from the Kyiv School of Economics.
demonstration of uni-variate time series prediction by predicting monthly births in Sweden for the next 12 months
Repository for the NMAtch Model, a Bayesian Network Meta-Analysis (NMA) framework tailored for evaluating team performance in fixed-time sports tournaments, primarily iootball leagues.
Going through the tutorials for integrating PyMC with ODEs
Asteroid Thermal Modeling
Bayesian Statistics MOOC by Coursera - Solutions in Python
Bayesian Statistics: Linear Regression and multi-linear models and related concepts (multicollinearity, correlation coefficient etc) on iris dataset in pymc3
Simulating the detection of millihertz (mHz) gravitational waves (GWs) from astrophysical sources by a Storage Ring Gravitational-wave Observatory (SRGO).
Concepts of Bayesian Statistics, Bayesian inference, computational techniques and knowledge about the different types of models as well as model selection procedures.
Bayesian Analysis with Python (Second Edition)
Bayesian python toolbox for inference and forecast of the spread of the Coronavirus
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