What happens internally when you call fit() in Scikit-Learn?

fit() computes model parameters from training data and stores them in the object.

During fit(), Scikit-Learn estimators validate input, convert data into NumPy arrays, compute statistics or optimization (depending on model), and store learned attributes ending with underscore (_). For example, linear models compute coefficients, clustering models compute centroids, and scalers compute mean/variance.