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This repository contains the code (in R) of credit card analytics done using machine learning classification algorithms such as logistic regression, random forest and suppor vector machines in Amercan Express Data Science Competition

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iamsurajkumar/American_Express_Analyze_This_2017

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American_Express_Analyze_This_2017

This repository contains the code (in R) of credit card analytics done using machine learning classification algorithms such as logistic regression, random forest and suppor vector machines in Amercan Express Data Science Competition

Repository Information
The main coding files are folder named "code_R_and jupyter notebook". Refer to Data Science Strategy and Reasoning Presentation.pdf to see my modeling strategy and my output.

Contents
datasets: contains the data of the problem
final output: output of choosen customers out of given data and offers made to them using the model.
notes on variable selections: excel files which give reason for selecting variables
plots: several GGplots grahs to aid the analysis
problem statement and competition guidelines- problem statemen in pdf and instrutions

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This repository contains the code (in R) of credit card analytics done using machine learning classification algorithms such as logistic regression, random forest and suppor vector machines in Amercan Express Data Science Competition

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