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Objective: Using a bank’s customer data, build and train several machine learning models to predict the probability of a customer to subscribe to a term deposit. Use K-fold cross validation to assess the performance of each model.

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Ensemble-Techniques-Project

Using data collected from banking customers, the objective is to build a model that will help the marketing team identify potential customers who are relatively more likely to subscribe term deposits. Multiple ensemble techniques will be used and compared against each other in order to find the most successful model.

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Objective: Using a bank’s customer data, build and train several machine learning models to predict the probability of a customer to subscribe to a term deposit. Use K-fold cross validation to assess the performance of each model.

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