The process of training machine learning models typically involves multiple steps, each requiring specific data to ensure the model's effectiveness and accuracy. The seven steps of machine learning, as outlined, include data collection, data preparation, choosing a model, training the model, evaluating the model, parameter tuning, and making predictions. Each of these steps has distinct