A curated list of data mining papers about fraud detection.
A Streamlit dashboard that measures skill adaptation debt instead of predicting outcomes. It decomposes pressure into churn, novelty, and breadth to explain which roles/industries are becoming harder to staff. Includes role/industry reports, skill pressure maps, what-if scenario simulation, and a dataset explorer.
This interactive web application leverages machine learning to predict whether a telecom customer is likely to churn. Users can input customer details for real-time predictions or upload a CSV file for batch analysis.
"Machine learning tool to predict customer churn and retention."
Customer Chrun Prediction - Retail Store
Predicting churn in a real company for CRM actions.
Model bank customers behaviour. Publish findings on an online dashboard.
Machine Learning
Data science case study: Churn Prediction using real-world HelloFresh data.
GMD is a lightweight SaaS metrics dashboard that gives founders instant clarity on their business performance. Track MRR, ARR, churn, CAC, LTV, and more through automated data ingestion, Stripe integration, and CSV uploads in an all in one clean, easy-to-use interface.
ML Prediction for Customer Churn in Telecom company. Compares 2 models: XGBoost vs Neural Network
This project uses a simple MLP to train on a customer churn kaggle dataset with streamlit frontend interactions
Customer Churn Prediction using Machine Learning with Python and Power BI
Developed a model to predict customer churn for subscription-based businesses.
Churn Rate on Bank dataset using Keras (binary classification). Predict whether a particular customer would be leaving the bank in the future or not.
Small churn prediction demo with a logistic regression model, accuracy vs baseline, and permutation feature importance.
This project aims to predict customer churn using machine learning algorithms. The project includes data preprocessing, feature engineering, and model evaluation.
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