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Problem Statement

Abstract

Term Deposit is one of many investment instruments that people tend to have. It is because less risky, fixed interest upon agreement, and provided by a legal institution called bank.

Unfortunately, marketing campaign result of a Portuguese Banking Institution in 2008 - 2010 tells the opposite. Portuguese tend not to open term deposit due to the Great Recession strike in Portugal during that period.

It had made Portuguese Bank struggled since only a few people wanted to open a term deposit.

The dataset consist of 41188 observations and 21 features ranging from bank's internal client to external social economy data.

Business Problem

  1. What kind of customer charateristics the marketing should target in order to increase term deposit opening?
  2. Are there any specific conditions that affect customer to open term deposit?

Business Objective

The objective of this project is to analyze the features or conditions of a customer charateristic which marketing team should target in order to increase their term deposit opening.

Machine Learning Task

  • This project will use supervised machine learning algorithm because the result (label) campaign already given in the dataset.
  • Utilizing classification algorithm to answer the business problems.
  • Analyze feature importance of the dataset to produce the best model.

Performance Measurement

In order to measure the performance of the classification model, we use the following metrics:

  • Precision
  • ROC - AUC


Purwadhika Final Project Data Science Bootcamp (Data Warrior)

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