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The Flatiron School - Washington DC Campus

Module 5 Project

This is the Module 5 Classification Project by Tim Mango and J. Mark Daniels.

We analyze a banking database to predict whether someone will open an account with the bank utilizing numerous classification models. Appropriate model evaluation metrics are included.

Data obtained from: https://archive.ics.uci.edu/ml/datasets/Bank+Marketing

Citation: [Moro et al., 2014] S. Moro, P. Cortez and P. Rita. A Data-Driven Approach to Predict the Success of Bank Telemarketing. Decision Support Systems, Elsevier, 62:22-31, June 2014

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Binary classification using PCA, KNN, Logistic Regression, XGB

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