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.

🛒 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 .

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

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.

Challenge 2 of the FGA Data Science program where we have to predict whether a customer will stop using an ISP's service or not using machine learning model

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

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

Customer Churn Analysis in R: Logistic, Classification Tree, XGBoost, Random Forest.

Repo consists the customer behaviors in order to select the business areas of improvements, recommendation and revenue increments factor. As per market demand, we need to analyse out customers, so that we can optimize company revenue as per customer segmentations.