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Predict Customer Satisfaction of Santander Bank using Machine Learning in R

In this project, you'll work with hundreds of anonymized features to predict if a customer is satisfied or dissatisfied with their banking experience.
4.44.4

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What will you learn

  • Use of various machine learning techniques to predict unhappy customers
  • How to evaluate which method is good
  • Implementation in R

What will you get

  • Access to recording of the complete project
  • Access to all material related to project like data files, solution files etc.

Prerequisites

  • This project assumes that you have a good knowledge of Data Science and the R language. If not - we recommend you to take the Data Science in R Programming course first.

Project Description

Customer satisfaction is a key measure of success. Unhappy customers don't stick around. What's more, unhappy customers rarely voice their dissatisfaction before leaving.

Santander Bank is asking to help them identify dissatisfied customers early in their relationship. Doing so would allow Santander to take proactive steps to improve a customer's happiness before it's too late.

In this competition, you'll work with hundreds of anonymized features to predict if a customer is satisfied or dissatisfied with their banking experience.

Instructors

 
Pradeepta