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

Materi praktikum Talent Scouting Academy (TSA) Kominfo 2023

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.

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

Telco Customer Churn Analysis and Prediction using SQL, Python, and Power BI . Data Cleaning, EDA, Machine Learning, and Interactive Dashboard.

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

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

Telco Customer Churn Feature Engineering

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

Built a churn prediction model using tree-based methods (Decision Tree, Random Forest). Conducted EDA, encoded categorical variables, and visualized feature relationships. Tuned models with GridSearchCV and evaluated them using classification metrics and feature importance.

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.

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.

By entering customer information the machine learning model will predict customer churn, providing the reasons, and write solutions for keeping the customer or gain the customer.

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