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Learn AI with Python · Lesson

Bayesian Optimization with Optuna

optuna.create_study(), suggest_float/int/categorical, pruning, visualization.

Smarter Than Random Search

Grid and random search ignore past results. Bayesian optimization learns from previous trials to propose more promising hyperparameters next, finding good values in fewer evaluations.

What Optuna Does

Optuna is a popular framework for hyperparameter optimization. You define an objective function; Optuna intelligently samples hyperparameters and remembers what worked.

All lessons in this course

  1. Cross-Validation Strategies
  2. Classification Metrics Deep Dive
  3. Grid Search and Random Search
  4. Bayesian Optimization with Optuna
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