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Our Courses
MLOps
Hyperparameter Tuning and Optimization
Topics Covered
Level :
Expert
Hyperparameter tuning, Grid Search, Bayesian Optimization
Course Summary
Master hyperparameter tuning techniques to improve model performance.
Course Description
Implement effective search strategies to find optimal model configurations.
Learning Modules
Module 1: Tuning Strategies: Understand grid, random, and Bayesian methods.
Module 2: Tooling: Use Optuna and Scikit-Optimize.
Module 3: Integration: Apply tuning in pipelines.
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