Understanding why customers are leaving an online e-commerce company.
- Updated
Jun 7, 2023
Understanding why customers are leaving an online e-commerce company.
ChurnANNalyzer is a customer churn prediction project that utilizes Artificial Neural Network (ANN) algorithm. The project aims to analyze and predict customer churn in a given dataset.
In this project , we aim to perform the data analysis on bank customers data to identify the reasons why customers leave the bank. Tools used for the analysis are Power BI and SQL.
This repository contains the implementation of Churn Prediction model on Telco dataset.
Customer Churn project for a telecom firm. The project aims to predict the possibility of a customer to churn by using methods of Data Analysis and Machine Learning with sound accuracy and justifies its result by showing the expected cost-benefit from following their recommendations.
Trying to predict which customers are more likely to churn
By undertaking this project, the company aims to gain valuable insights into customer behavior, enhance service quality, and implement targeted strategies for customer retention and satisfaction. The findings will contribute to informed decision-making and the development of customer-centric business strategies.
TD Bank-Real Time Churn Insights with Robust Machine Learning Models and Interactive Web Deployment
I created a Machine Learning model that can be used to predict customer churn in credit card services.
Customer Churn Analysis
analyzing customer churn in a telecom company using excel and tableau public
This project predicts customer churn for a telecom company using machine learning techniques such as Logistic Regression and Random Forest.
This project involved analyzing 10,000 customer records, applying data preparation techniques, and training supervised machine learning models, achieving 94% accuracy. Model efficiency was further refined using cross-validation and hyperparameter tuning, ensuring reliability and performance
Machine Learning model to predict Customer Churn
End-to-end Telco Customer Churn Analysis & Prediction 🚀 Includes SQL & Python cleaning, Exploratory Data Analysis (EDA), Feature Engineering, Logistic Regression Model (~82% accuracy), and an interactive Power BI Dashboard with business insights.
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