Data Science
Hypertuning Classical Models
This course teaches learners how to systematically improve classical ML models using hyperparameter search and evaluation strategies, continuing from a weak baseline.
Python
4 lessons
16 practices
1 hour
Course details
Grid Search for Hyperparameter Tuning in scikit-learn
Your First Grid Search Parameter Grid
Creating and Fitting GridSearchCV
Debugging Parameter Names in Grid Search
Building Models with Optimal Hyperparameters

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