randomsearch

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)

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

Deep dive into tuning ML models like a pro. Master Grid Search, Random Search, and Bayesian Optimization, tame overfitting with regularization, validate like it matters, then automate it all with GridSearchCV & RandomizedSearchCV. Ends with a capstone project where you build and optimize a model from scratch..

HackerEarth Machine Learning challenge: Adopt a buddy

Predictions on NHANES3 dataset, predicting mortality

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

Implementation of Hyper-parameter tuning of ML models

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

This repository demonstrates an investigation of listing price indicator of Airbnb

Testing several hyperparameter optimization techniques.

Implementação de três métodos de busca de elementos

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

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