A curated list of data mining papers about fraud detection.

code complexity metrics visualization and exploration tool for ruby and javascript

Measure the churn/complexity ratio. Higher values indicate hotspots where refactorings should happen.

A Cognitive Code Complexity Analysis Tool. Cognitive complexity measures how hard it is for a human to understand the code, while cyclomatic complexity measures how hard your code is to test. Understandability is a huge cost factor because ~80% time is spent on reading and understanding code.

Typescript library to access Faraday's API infrastructure for B2C predictions

moneroc - The proper way to churn Monero

Repositório para o #alurachallengedatascience1

Custom Cohort Visualization based on Kibana NP

Telecommunication Churn Price Prediction Project. Full Project with Code, Documents and Research papers

(2018) Churn Management & Customer Retention Project for my Ryerson Capstone using Tableau, R, AWS and SQL

a monero churning service designed to automatically churn your monero for you

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.

The Complete Journey Dataset: Churn Prediction

Churn Analyzer: Analyze and understand user churn rate in your PostgreSQL database effortlessly.

Telecommunication Company Churn Project

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.

“Machine learning tool to predict customer churn and retention.”

Feature Engineering and Churn Prediction on Telecom data

Customer Chrun Prediction - Retail Store

Customer Churn Analysis for a website