Machine Learning, Data Science, Data Modeling.
problems often come from bugs rather than from a wrong model design or badly chosen hyperparameters. Hence, in this step, we should not do anything fancy. We should choose a simple model that we cannot mess up. Choose only a few features and do not do any fancy feature engineering. Scaling the data