Gyanbardhan/mastersoft
This repository contains an end-to-end machine learning project for predicting customer churn. It includes data preprocessing, feature engineering, model training, and evaluation, followed by deploying the best-performing model as a Flask API. Business insights and actionable recommendations are also provided to reduce churn effectively.
No commits in the last 6 months.
Stars
3
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Sep 29, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mlops/Gyanbardhan/mastersoft"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
awslabs/aws-customer-churn-pipeline
An End to End Customer Churn Prediction solution using AWS services.
ChurnGuard/ChurnInsight
Sistema end-to-end de predicción de abandono. Incluye un pipeline de generación de datos...
Abhi0323/End-to-End-Employee-Churn-Prediction-with-Azure-Databricks
Developed an end-to-end machine learning solution for predicting employee churn using Azure...
joshuatochinwachi/Solana-Game-Signals-and-Predictive-Modelling
Next-generation analytics & ML-powered churn prediction for Solana gaming. Self-training models...
abideenml/Kedro-MLops-pipeline
Churn Prediction with Kedro, Kedro-Viz, and Kedro-Mlflow ❄️ 👨. PowerBI Dashboard 📊 also...