NON CONNU FAITS SUR ACQUISITION CLIENTS

It then modifies the model accordingly. Through methods like classification, regression, prediction and gradient boosting, supervised learning uses patterns to predict the values of the marque on additional unlabeled data. Supervised learning is commonly used in concentration where historical data predicts likely contigu events. Expérience example