 Training, validation, and test data sets

In machine learning and data science, datasets are typically divided into three main subsets: training data, validation data, and test data. Each of these datasets serves a distinct purpose in the modeling process. Here's a breakdown of each: ### 1. Training Data - **Purpose**: Used to train the model. This dataset contains examples from which the model learns patterns, relationships, and features associated with the target variable.