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)

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..

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

HackerEarth Machine Learning challenge: Adopt a buddy

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

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

Testing several hyperparameter optimization techniques.

Implementação de três métodos de busca de elementos

The purpose of this research is to try out different audio classification models along with some audio feature extraction techniques on BanglaSER dataset to develop a Bangla Speech Recognition model architecture.

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