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Implementation of Decision Tree Classifier, Esemble Learning, Association Rule Mining and Clustering models(Kmodes & Kprototypes) for Customer attrition analysis of telecommunication company to identify the cause and conditions of the churn.
Objective: to understand and predict the customer retention and behavior | Data Source: IBM | Data Science Platform: R programming
This was part of a Data Science challenge hosted by Careerboat.