ML Parameters Optimization: GridSearch, Bayesian, Random
By Coursera
on Coursera
· Data Science
About This Course
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.
Instructor
ML Parameters Optimization: GridSearch
Frequently Asked Questions
How much does ML Parameters Optimization: GridSearch, Bayesian, Random cost?
ML Parameters Optimization: GridSearch, Bayesian, Random costs $9.99. Check the course page for current pricing and available discounts.
Who teaches ML Parameters Optimization: GridSearch, Bayesian, Random?
ML Parameters Optimization: GridSearch, Bayesian, Random is taught by Coursera, Coursera.
What skill level is ML Parameters Optimization: GridSearch, Bayesian, Random for?
This course is designed for all levels learners.