Repo that relates to the Medium blog 'Using Bayesian Optimization to reduce the time spent on hyperparameter tuning'

This repository contains Local Search Algorithms implemented on Magic Square problem.

A hyperopt wrapper - simplifying hyperparameter tuning with Scikit-learn style estimators.

Hyperparameter-Optimization-Tutorial

All Machine Learning Templates (Seaborn,K fold, Grid Search, Random Search,AUC-ROC for all major algorithms)

Machine Learning aplicado al mantenimiento predictivo. Se realizaron 2 modelos: 1 por medio de clasificación binaria que predice si una máquina fresadora estará en riesgo de fallar o no, y el 2 modelo a través de clasificación multiclase que predecirá el modo de falla

Predictions on NHANES3 dataset, predicting mortality

ML model optimization algorithms such as random search, grid search, and Bayesian optimization. are illlustrated with codes.

Random search command line driver to optimize a parameter surface determined by a command

HackerEarth Machine Learning challenge: Adopt a buddy

Implementation of Hyper-parameter tuning of ML models

Testing several hyperparameter optimization techniques.

This repository demonstrates an investigation of listing price indicator of Airbnb

Implementação de três métodos de busca de elementos

Técnica de validação cruzada estratificada e seleção de hiperparâmetros com Randon Search.

meta-heuristic search algorithms

Try to Implement different Envirnment and RL algorithms

AI-CyberSec 2021 Workshop CEUR Publication(AI-2021 Forty-first SGAI International Conference)