Sklearn GridSearchCV (in Python) - Cross-Validation in Scikit-learn

## What is GridSearchCV GridSearchCV tests different hyperparameter values to find the best one for your model. You should use GridSearchCV instead of KFold and cross_val_score when you're not only looking to evaluate a model but also want to tune hyperparameters to find the best combination for your model. ## How GridSearchCV Works - GridSearchCV splits the training data in k equal parts (folds). - Each fold is used as a validation set and the remaining is used as training ----- Install Python: - MacOS: https://www.jcchouinard.com/install-python-on-macos/ - Windows: https://www.jcchouinard.com/install-python-on-windows/ - Anaconda: https://www.jcchouinard.com/install-python-with-anaconda-on-windows/ Subscribe to my Python Course waitlist: https://ba995fe7.sibforms.com/serve/MUIEAPv50TFkNuoknCNvzRUKLLhvvZd5jzCwEZvi9BNjtkhVuEtLpEG58-Khdquyg9v5V-1qeGDwIXy739I4eFIVcCqeqqV3UUisW_-hAd5ljC1dGMrQvXHC7JvORh9TbnLA1CHqWro4N7YVZ4730-D5dXGxqd3CbaVHSJpS5fyylPMVzCe1_y9xOTl2-CsvEuhO01E0Ytv59HEJ Support my work: