Learn how to utilize various hyperparameter optimization techniques and libraries to tune hyperparameters for models or optimize functions effectively. The course covers Grid Search, Random Search, Grid/Random Search with Pipelines, Bayesian Optimization with Gaussian Process, Hyperopt, and Optuna. The teaching method is through a tutorial video. This course is intended for individuals interested in enhancing their understanding of hyperparameter optimization.
Hyperparameter Optimization - This Tutorial Is All You Need
Overview
Syllabus
Introduction
Grid Search
Random Search
Grid/Random Search with Pipelines
Bayesian Optimization with Gaussian Process
Hyperopt
Optuna
Taught by
Abhishek Thakur
