This is a sample code repository of the telco customer churn analysis or prediction by the classification/regression model for experiment and learning purposes.

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

The repository presented steps for building a model that predicted whether a customer would switch telecommunication service providers.

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

Developing a customer churn prediction model using machine learning techniques. The model identifies potential churners by analyzing historical customer data, aiding businesses in retaining customers and boosting satisfaction. Evaluation based on accuracy, precision, recall, and F1 score. Emphasis on data quality and relevant features.

The analysis evaluates Campaigns' ROI within Regork's (imaginary company) least profitable departments, offering strategic insights to enhance marketing efforts and drive profitability.

Predicting customer churn using ANN and dealing with imbalanced data.

Customer-Churn-ANN

Gaussian mixture model for predicting customer churn

A Machine learning based approach on customer churn analysis in python.

Customer Churn Prediction in Telecom Industry where customers are choose from a variety of service provider and actively switch from one to next. with the help of Machine Learning Classification Algorithm we are going to predict the churn.

Customer churn prediction is to measure why customers are leaving a business. We will build a deep learning model to predict the churn.

Predicting customer churn of a mobile operator using XGBoost in Amazon Sagemaker.

Derive insights of factors contributing to customer churn in the Telecom Industry.

This project leverages machine learning techniques to analyze historical customer data and build a predictive model.

Telco Churn Analysis and Modeling is a comprehensive project focused on understanding and predicting customer churn in the telecommunications industry. Utilizing advanced data analysis and machine learning techniques, this project aims to provide insights into customer behavior and help develop effective strategies for customer

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

This project provide a template of the traditional binary classification model. Feel free to check the detailed steps of the whole process machine learning modelling.