Scikit-learn simplifies machine learning model implementation, including linear regression. Key functionalities include making predictions, visualizing results with scatter plots, and evaluating performance using metrics like RMSE. Hyperparameter tuning with GridSearchCV optimizes models. Save and load models easily with joblib for efficient workflow in data science.