Build a machine learning model to predict customer churn of a bank.
1.Import Libraries
2.Loading dataset
3.Feature Selection
4.Converting Categorical data to Numeric data
5.One Hot Encoding
6.Preprocessing data
7.Model Training
8.Model Performance
9.Feature Evaluation
10.Conclusion