Chevron Left
Retour à ML Parameters Optimization: GridSearch, Bayesian, Random

Avis et commentaires pour d'étudiants pour ML Parameters Optimization: GridSearch, Bayesian, Random par Coursera Project Network

À propos du cours

Hello everyone and welcome to this new hands-on project on Machine Learning hyperparameters optimization. In this project, we will optimize machine learning regression models parameters using several techniques such as grid search, random search and Bayesian optimization. Hyperparameter optimization is a key step in developing machine learning models and it works by fine tuning ML models so they can optimally perform on a given dataset....
Filtrer par :

1 - 1 sur 1 Avis pour ML Parameters Optimization: GridSearch, Bayesian, Random

par Ariel C A F

30 sept. 2022