Hello, this is my final project with my friend when I joined Fresh Graduate Academy Program at Binar Academy in 2023.

Performed predictive analysis of customer churn in the banking industry and identify the factors that led customers to churn. Customer churn or customer attrition is the phenomenon where customers of a business no longer purchase or interact with the business.

This project involves helping a telecoms company better understand its customer churns.

The Customer Churn table contains information on all 7,043 customers from a Telecommunications company in California in Q2 2022. We need to predict whether the customer will churn, stay or join the company based on the parameters of the dataset.

🛒 Customer Churn Prediction.

Customer Churn Analysis with Neural Network

Customer Churn Prediction in the Banking sector

Tree methods for customer churn prediction. Creating a model to predict whether or not a customer will Churn .

This an analysis of online retail (E commerce) company that wants to know the customers who are going to churn, so accordingly they can approach customer to offer some promos.

This project aims to predict bank customer churn using a dataset derived from the Bank Customer Churn Prediction dataset available on Kaggle. The dataset for this competition has been generated from a deep learning model trained on the original dataset, with feature distributions being similar but not identical to the original data.

The core purpose of this study is to find the impact of Sentiment Analysis in predicting customer churn for the e-commerce industry by employing different predictive models. Furthermore, the study is also focused on observing which model is best in a more accurate prediction for determining the churn rate of customers.

Predict whether a particular Telecom Customer will Churn or Not ?

Customer retention is a critical stage for customer relationship management (CRM), especially for established businesses after their initial exponential growth. Churn management or attrition management is important as when customers leave, there arenegative impacts on revenues. Churn analytics has been widely applied to proactive customer retent…

Predictive model of customer churn of Bank and Marketing

Prediction of whether or not a customer leaves in an specific period of time, deployed to GCP

Prediction whether the customer will resign from the services of a telecommunication company.

Repositorio del proyecto de predicción del problema Telco Customer Churn (kaggle)