Job category:Data Science & Analytics
2,688 learners

Hypertuning and Cross-Validation

Master hyperparameter tuning and cross-validation techniques to optimize the performance of your machine learning models. Learn how to perform grid search, random search, and various cross-validation methods.
Python
Scikit-learn
4 lessons
18 practices
2 hours
Badge for Model Evaluation, Validation, and Selection,

Course details

Cross-Validation in Machine Learning
Using F1 Score for Cross-Validation
Complete the Cross-Validation Process
Comparing Models Using Cross-Validation
Exploring Ensemble Models with Cross-Validation

Previous Course

Turn screen time into skills time

Practice anytime, anywhere with our mobile app.
Download on the App StoreGet it on Google Play
Sign up

Join the 1M+ learners on CodeSignal

Be a part of our community of 1M+ users who develop and demonstrate their skills on CodeSignal