A Training Dataset is a collection of data that is used to teach a machine learning model how to perform a particular task. This dataset is used to train the model to recognize patterns and make predictions or decisions based on those patterns. For example, if you want to teach a model to recognize pictures of dogs, you would provide it with a training dataset that consists of hundreds or thousands of pictures of dogs.
