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

Implementação de três métodos de busca de elementos

Implementation of Hyper-parameter tuning of ML models

HackerEarth Machine Learning challenge: Adopt a buddy

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

Testing several hyperparameter optimization techniques.

This repository demonstrates an investigation of listing price indicator of Airbnb

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

Predictions on NHANES3 dataset, predicting mortality

Try to Implement different Envirnment and RL algorithms

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

Datasets to build classification and regression models optimized via random search and grid search algorithms.