A machine learning pipeline is the overall process from data processing up till model prediction of the data. It could be considered as being a sequence of actions (e.g. data imputation / data scaling / encoding of categorical values / hyperparameter tuning / model selection) which could be broken down into smaller ‘components’ or functions. […]