In this section, we will predict Telco customer churn using machine learning algorithms.

Materi praktikum Talent Scouting Academy (TSA) Kominfo 2023

📱 Customers are likely to leave a telecom service, enabling companies to take measures for retention and create accurate churn prediction models.

This project is my personal project about Customer Churn using dataset from Telecommunication Company provided by Kaggle. I created Data Visualisation with Python to get some insight from the dataset that can used for arrange their next strategic planning.

This repository consists of different ML and DL projects.

Machine learning project to predict customer churn (Telco Customer Churn) using PostgreSQL/MongoDB as data sources, with exploratory analysis, preprocessing, model training, and dashboard.

Telcom Churn Prediction - Predicting If a Customer will Churn or Not based on Telcom Dataset

How to do a simple end-to-end machine learning classification project using the telco churn dataset

Telco Customer Churn Feature Engineering

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

Predicting Customer Churn in different Industries

Built a machine learning model in Python to predict customer churn using the Telco dataset. Applied data cleaning, feature engineering, EDA, and trained a Random Forest classifier. Visualized insights and key churn predictors using Seaborn and Matplotlib.

This repository will compare the performance of different classification algorithms on various imbalanced datasets using multiple balancing techniques.

Data Mining Project for Customer Analysis and Churn Prediction