Identifying factors that resulted in Customer Churn
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Updated
Sep 21, 2020 - Jupyter Notebook
Identifying factors that resulted in Customer Churn
ChurnRadar: Unveiling Customer Churn Patterns with Predictive Insights
Customer Churn Analysis in R: Logistic, Classification Tree, XGBoost, Random Forest.
Churn Analyzer: Analyze and understand user churn rate in your PostgreSQL database effortlessly.
Importance of churn Analysis and some concept upon it
Predicting user churn for a mobile health app called Diabesties. Capstone project for Galvanize Phoenix Data Science Immersive, October 2017.
This is task 2 of 3 from the Power BI PwC Switzerland Virtual Internship organized in partnership with Forage
Worked on three use cases- Churn data analysis, Movie recommendation engine and Intrusion detection system.
Repositório destinado a documentar o desafio de Data Science da Alura #alurachallengedatascience1
Customer Churn Analysis using R & RStudio
NGO Fund Raising Attrition Churn Modelling
Customer churn is a common analysis conducted by businesses since the cost of client retention is lower than the cost of acquiring new clients.
News Publishing Company Project
Redução da taxa de evasão de clientes (Churn Rate)
Customer Churn Analytics with R of a telecommunications company.
Churn rate visualizations in Python
Develop an overview dashboard for managers utilizing a telecom industry user churn dataset to present insights on the current churn situation.
Data Mining for Telco Customer Data Using SAS Miner
To predict behavior to retain customers
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