Chevron Left
返回到 ML Parameters Optimization: GridSearch, Bayesian, Random

學生對 Coursera Project Network 提供的 ML Parameters Optimization: GridSearch, Bayesian, Random 的評價和反饋

課程概述

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....
篩選依據:

1 - ML Parameters Optimization: GridSearch, Bayesian, Random 的 1 個評論(共 1 個)

創建者 Ariel C A F

2022年9月30日