Collecting data to train a model is an important step in machine learning. By collecting data, the model can learn patterns from the data and use those patterns to make predictions or decisions.
Collecting data to train a model is an important step in machine learning. By collecting data, the model can learn patterns from the data and use those patterns to make predictions or decisions.