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

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

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

Hyperparameter-Optimization-Tutorial

dataclasses enhanced with type validation and serialization

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

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

Predictions on NHANES3 dataset, predicting mortality

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

This repository demonstrates an investigation of listing price indicator of Airbnb

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

Implementation of Hyper-parameter tuning of ML models

HackerEarth Machine Learning challenge: Adopt a buddy

Try to Implement different Envirnment and RL algorithms

Implementação de três métodos de busca de elementos

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

Testing several hyperparameter optimization techniques.

meta-heuristic search algorithms