classify-customer-churn

Here CustomerChurnRate dataset by Gang Liu is used classify whether a customer is going to churn or not. Using the dataset EDA is done.

While doing this we'll

• Deal with outliers using the iqr and z-scores methods
• Feature selection using backward elimination

Table of contents

• Getting started
• EDA
• License

Getting started

The notebook is available on Kaggle to work in the same environment where this notebook was created i.e. use the same version packages used, etc...

EDA

Correlation matrix

Count plot (how unbalanced the dataset is)

Model performance

Cross validation scores for different models

Learning curve

Confusion matrix, without normalization

License

APACHE LICENSE, VERSION 2.0