Churn Rate on Bank dataset using Keras (binary classification). Predict whether a particular customer would be leaving the bank in the future or not.
-
Updated
Jan 19, 2021 - Python
Churn Rate on Bank dataset using Keras (binary classification). Predict whether a particular customer would be leaving the bank in the future or not.
A model to predict customer churn using Spark
Churn prediction using Random Forest and Decision Tree Classifiers.
I analyzed a dataset of telco customers' activity and how it relates to churn. This repository is designed for data cleaning and exploratory data analysis (EDA), which will be expanded into feature engineering and modelling.
Focused customer retention programs
Identified patterns and reasons behind customer attrition.
Repositório do Challenge de Data Science da Alura
NGO Fund Raising Attrition Churn Modelling
Customer churn XGBoost prediction of an e-commerce dataset
This repository contains the Customer churn prediction and it is been deployed in the front end with streamlit.
Telecom Customer Churn Prediction using DNN
Customer Churn Prediction
SQL code for calculating user churn rates
It is focused on customer churn utilizing the personal info and various user statistics on a telecom user database from U.S. The performance of the final model is 98.8% accuracy and 96.4% f-beta score so far.
Customer Churn Analysis explores factors influencing customer attrition using various data visualizations and statistical tests.
Customer churn prediction for the next sale season for a major luxury French retail brand
Add a description, image, and links to the churn topic page so that developers can more easily learn about it.
To associate your repository with the churn topic, visit your repo's landing page and select "manage topics."