KaushikRajanRK/Data-Mining-on-Customer-Churn-Classification KaushikRajanRK/Data-Mining-on-Customer-Churn-Classification

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KaushikRajanRK/Data-Mining-on-Customer-Churn-Classification
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KaushikRajanRK

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Implemented multiple classifiers to classify if a customer will leave or stay with the company based on multiple independent variables. Tools used: > RStudio for Exploratory data analysis, Data Pre-processing and building the models > Tableau and RStudio for Visualization > LATEX for documentation Machine learning models used: > Random Forest > C5.0 > Decision tree > Neural Network > K-Nearest Neighbour > Naive Bayes > Support Vector Machine Methodology: CRISP-DM

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