Geographic-segmentation-Model-Deep-Learning-

Business Problem

: A bank with millions of customers noticed an unusual churn rates and wants to uderstand what is causing the problem and get insights.They gave out a dataset which includes a sample of 10,000 customers who either left or stayed during a period of six months.

The goal is to create a Geographic segmentation model using Artficial Neural Networks that is able to predict which customers are at highest risk of leaving the bank. .

Libraries used:

1. Keras

2. Tesnserflow

3. Scikit Learn

4. Pandas

5. numpy

Installing keras and Tensorflow with Anaconda installed:

1. pip install keras

2. pip install Tensorflow

3. conda update --all