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membership-classification

Different approaches on classifying customers who are most likely to purchase an offer. The said classification approaches are: Support Vector Machines (SVM), k-Nearest Neighbors (kNN), Decision Tree (DT), Logistic with PolynomialFeatures, Logistic, Linear with Polynomial Features, and Linear Classification. Made with Jupyter Notebook, scikit-learn, and other helpful python packages.

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Different machine learning approaches on classifying customers who are most likely to purchase an offer. Made with Jupyter Notebook, scikit-learn, and other helpful python packages.

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