Building Machine Learning Pipelines

But, what does that mean? In a crux, they help develop the sequential flow of data from one estimator/transformer to the next till it reaches the final prediction algorithm. It ensures there is no data leakage between train, test, and validation sets. The pipeline also makes a program more automated to be used as a functional code. We will use grid search to tune hyperparameters and generate output.