The common approach for machine learning model training when starting of is to use the reliable sklearn library. With built-in pipelines and irreproachable documentation, it can greatly improve the comprehension of model performance. It isn't, however, a best of breed library all around. In Hyperparameter optimisation, there are better ones. This project is an exploration of two others commonly used libraries which can help : x and y