🫧 Learning the different implementation approaches of bayesian methods using Python (Jupyter Notebook).
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Updated
Sep 18, 2023 - Jupyter Notebook
🫧 Learning the different implementation approaches of bayesian methods using Python (Jupyter Notebook).
Bayesian Optimization for hyperparameter tuning in machine learning using a Jupyter Notebook. This repository demonstrates optimizing a Gradient Boosting Classifier with practical examples and clear explanations.
This project contains a collection of Jupyter Notebook files related to optimization algorithms including Hill Climbing, Genetic Algorithm, Iterated Local Search, Simulated Annealing, and Tabu Search.
Notebooks for Bayesian Foundations (Course 1)
Machine learning resources (Jupyter notebooks mostly). Originally code to complement the "EECE 5644: Introduction to Machine Learning and Pattern Recognition" course taught at Northeastern University.
A collection of Bayesian data analysis recipes using PyMC3
Notebooks about Bayesian methods for machine learning
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