churn_DetRet

Telecom Customer Churn Detection and Retention.

The model is accurate enough to give 80% correct results in testing phase.

Requisites

• Numpy
• Pandas
• matplotlib.pyplot
• sklearn
• jupyter

churn_det_ret.ipynb

• Main file used for data cleansing, training and prediction.
• Used Random Forest for feature selection.
• Used Logistic Regression model

data_analysis.ipynb

file for analysing the data

train_predict.ipynb

training and prediction done without any feature selection