Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

A collection of Bayesian data analysis recipes using PyMC3

A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics or astronomy.

A jupyter notebook for binary classification of breast cancer using XGBoost with Bayesian optimization.

General statistics and mathematical concept notebooks in Python

Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)

Notebooks (mostly R but some PyMC3) covering Prof Richard McElreath's Statistical Rethinking 2 book (draft version up to 26th Sept 2019) and Homeworks from his winter 2019 lecture course

In this repo, I apply various statistical methods (Bayesian) and neural networks in Python(Jupyter Notebook) to analyze and examine relevant topics within computational linguistics. This was part of a 400-level seminar designed for us to engage in interdisciplinary methods to investigate linguistic phenomena.

Notebooks for Advanced Statistical Inference(ASI) course at EURECOM

Hidden Markov Models + notebook presentation

A collection of Juypter notebooks that serve as my notes on tutorials and examples for PyMC3.

📔Interesting books I currently read 📚

A Jupyter Notebook discussing Bayesian theory, Markov Chain Monte Carlo and the Affine Invariant Ensemble Sampler

Capturing notes from a basic statistics class into jupyter notebooks and embellishing with MathJax formulas, python code and visualizations

Notes about Statistical Rethinking | Richard McElreath

Concepts of Bayesian Statistics, Bayesian inference, computational techniques and knowledge about the different types of models as well as model selection procedures.