👉 The fitted project is a machine learning model designed to predict outcomes based on input features by learning patterns from historical data. It typically involves a regression or classification algorithm, depending on the nature of the target variable. The model is trained on a dataset where it adjusts its parameters to minimize prediction errors, thereby improving its accuracy over time. Once trained, the fitted project can make predictions on new, unseen data by applying the learned patterns. This approach is widely used in various applications, from financial forecasting to medical diagnostics, where accurate predictions can significantly impact decision-making processes.
