Model Validation in Python

Machine learning models are now more accessible than ever. You might not get the results you expect when running new data through a machine-learning model that hasn't been validated. Analysts can confidently answer "How good are your models?" Validating their models is the best way to answer this question. This question can be answered both for classification models that use all tic-tac–'toe scenarios as well as regression models that use fivethirtyeight's ultimate Halloween candy power ranking dataset. This course will give an overview of validation, and talk about different validation methods. Also, we'll be discussing tools that can help you create high-performing, validated models.