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Data-Science-Blog-Post

Table of Contents

  1. Installation
  2. Project Motivation
  3. File Descriptions
  4. Results

Installation

There should be no necessary libraries to run the code here beyond the Anaconda distribution of Python. The code should run with no issues using Python versions 3.*.

Project Motivation

For the business questions analysis, I have used the Bank customers churn dataset:

Q1.Find out how many customers are in the churn category?

Q2.Which customers have higher churn rate?

Q3.Is there any noticeable difference in customer net worth category when it comes to churn.

Q4.Which customers will tend to have higher balance?

File Descriptions

The notebook available here showcases work related to the above questions.

Results

The main findings of the code can be found at the post available here.

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