imbalance in the dataset outliers in the dataset other common problems in the dataset step eda step ml model building train/test split of data finding the best threshold for classification algorithms overfitting vs underfitting problem key stakeholder discussion and iterations presenting the final model step deployment of the model step documentation step model refresh and maintenance summary index ix