Statistics, Regression, Data Science, Machine Learning, AI.
into key concepts of Linear Regression, exploring its mathematical foundations, assumptions, and practical applications. We’ve worked with the Sklearn’s diabetes dataset to fit multiple models, each with its own set of features, and evaluated their performance on a hold-out testing set using