Data Modelling

Data modeling is the process of using data to understand relationships and make predictions. In this section, we will build simple models, starting with linear regression and extending to classification with logistic regression, while also learning how to evaluate their performance. Along the way, we will highlight important considerations—such as extrapolation and separating training and testing data—to ensure our models are both meaningful and reliable.