Optimize CatBoost using GridSearchCV for Regression

Categorical Boosting, also known as CatBoost, is a boosting model that uses weak learners with multiple iterations, increasing the accuracy with each iteration. This video helps you optimize the CatBoost parameters using GridSearchCV for Regression.
Why ProjectPro? With ProjectPro, you can access a curated library of verified, solved end-to-end project solutions in data science, machine learning, and big data. We also offer Tech support and 1-1 sessions.
So, check out ProjectPro - the only solution for solved industrial-grade projects.
Also, subscribe to our channel to get video updates.