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Predicted customer response probabilities to a mailing marketing campaign by analyzing historical customers’ information, credit scores and responses, dealing with noisy, imbalanced dataset and building classification models
Predicted customer response probabilities to a mailing marketing campaign by analyzing historical customers’ information, credit scores and responses, dealing with noisy, imbalanced dataset and building classification models
About
Predicted customer response probabilities to a mailing marketing campaign by analyzing historical customers’ information, credit scores and responses, dealing with noisy, imbalanced dataset and building classification models