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Data Science project that focused on improving the performance of mail marketing campaigns.

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Mail Marketing Campaign


Study that analyzes a marketing mail compagain using Logistic Regression, Random Forest and Support Vector Machines. The project developes predictive models to identify which groups of customers are most likely to engage with the promotional emails.

The ultimate goal is to continuously improve the performance of future waves of this campaign by targeting people who are most likely to take the offer.


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Data Science project that focused on improving the performance of mail marketing campaigns.

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