Training Data

Topic

Training data is the initial dataset used to train a machine learning model, helping it discover patterns, learn features, and make predictions. It forms the foundation of the model-building process, where algorithms adjust their internal parameters based on the input examples. In typical machine learning workflows, training data is used in conjunction with validation and test datasets to evaluate and refine the model's performance.