Scikit-learn API

Scikit-learn's API is a standardized way for programmers to build and use machine learning models efficiently. It provides consistent interfaces for tasks like data preprocessing, model training, validation, and prediction. You typically load data, choose a model (like for classification or regression), set parameters, and then train the model. Once trained, you can make predictions on new data. The API's uniform design makes it easier to compare different algorithms, tune models, and reliably deploy solutions, helping users develop machine learning applications more effectively without needing to learn new methods for each algorithm.