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Marketing Campaign Classifier

Predicting the success of Marketing Campaigns using Supervised Machine Learning.

For this project I trained and compared results from 3 different classification algorithms:

  • K-Nearest Neighbors (KNN)
  • Random Forest
  • Support Vector Machines

Eventually I built an Ensemble Model, a Stacking Classifier, using as base estimators the 3 aforementioned models.