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This canvas builds and visualizes regression models to predict student final scores based on study hours and previous performance. The workflow loads student data, explores correlations between variables, trains both single and multiple linear regression models, and generates comprehensive visualizations including regression lines, residual plots, and correlation heatmaps with detailed performance metrics.