Machine Learning, Data Science, Data Modeling.
evaluation pipeline, and trusted metrics we should look into models. In this step, we want to verify that the model works and learns well from the data. Again, do not be a hero. Do not pick a fancy model. Instead, stay as simple as possible. Start by choosing a simple model and use standard