To choose a model in Scikit-learn for classification, you first need to understand the nature of your data and the problem. Common models include logistic regression for binary classification and decision trees or random forests for more complex tasks. After selecting a model based on these factors, you implement it using Scikit-learn’s fit method on your training data.