churn

A curated list of data mining papers about fraud detection.

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

Custom Cohort Visualization based on Kibana NP

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

Telecommunication Company Churn Project

𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐭𝐡𝐞 𝐊 𝐅𝐨𝐥𝐝 𝐂𝐫𝐨𝐬𝐬 𝐕𝐚𝐥𝐢𝐝𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐑𝐅𝐌 𝐚𝐧𝐝 𝐑𝐅𝐌𝐓𝐂 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐦𝐨𝐝𝐞𝐥𝐬 𝐮𝐬𝐢𝐧𝐠 𝐭𝐡𝐞 𝐁𝐥𝐨𝐨𝐝 𝐓𝐫𝐚𝐧𝐬𝐟𝐮𝐬𝐢𝐨𝐧 𝐝𝐚𝐭𝐚 𝐬𝐞𝐭 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐂𝐃𝐍𝐎𝐖 𝐭𝐫𝐚𝐧𝐬𝐚𝐜𝐭𝐢𝐨𝐧𝐚𝐥 𝐝𝐚𝐭𝐚 𝐬𝐞𝐭 𝐢𝐧 𝐑.

Churn prediction project

Customer Chrun Prediction - Retail Store

Feature Engineering and Churn Prediction on Telecom data

The Complete Journey Dataset: Churn Prediction

a big data project using naive bias classification technique.

Telco churn exercise over Cloudera Data Science Workbench (CDSW)

Public releases for Bitcoin software modifications for different projects

Predict the churn probability according to the seasonal random walk methodology.

Machine Learning

Importance of churn Analysis and some concept upon it

Accompanying notebook for Data Konferences Feb. 2018 (Madrid)

Predicting churn in a real company for CRM actions.

This project is the final Capstone project of the Udacity Data Scientist Nanodegree program. The aim is to learn how to manipulate realistic datasets with Spark to engineer relevant features for predicting churn. Input data is related to the fictive music streaming service Sparkify (similar to Spotify and Pandora).

Data set: https://www.kaggle.com/c/customer-churn-prediction-2020/

Different methods for churn prediction

Prettier configuration targeting reduced diff churn and enhanced AST

Predicting Customer Churn in Banking Industry

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

Análise Exploratória e Modelagem do dataset de uma empresa de telecomunicações, para prever se os clientes irão desistir ou continuar contratando os serviços da empresa. Um típico problema de classificação de Churn. Foi feita a manipulação, limpeza e visualização dos dados, e aplicado Regressão logística, Random Forest e XGBTree para a etapa de modeloagem.

Deep dive into Amazon's top 100 ranking methodology, studying over 700 products, coupled with wide-scope ecommerce analytics solution for enhanced customer targeting and promotional outreach

Machine Learning Exercise: Exploring categorical plots, LabelEncoder, pipelines and GridSearchCV using Telco Customer Churn data from Kaggle

Repo for the 2020 Why R? NLP Hackathon