Customer Churn Analysis using R & RStudio
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Updated
Oct 2, 2018 - R
Customer Churn Analysis using R & RStudio
Churn analysis on a sample E commerce data
In this case study we will predict that whether a particular customer of a telecom company will churn or not based on the demographic data and churn data.
NGO Fund Raising Attrition Churn Modelling
News Publishing Company Project
~ UNI/ churn analysis for Data Mining proj module 2
Importance of churn Analysis and some concept upon it
SQL code for calculating user churn rates
A churn model is a mathematical representation of how churn impacts your business. Churn calculations are built on existing data (the number of customers who left your service during a given time period). A predictive churn model extrapolates on this data to show future potential churn rates.
Customer Churn Prediction Model using artificial neural network.
Churn Analysis for Healthcare IT Service. A Predictive Analytic Solution and Customer Retention Strategy.
The projects completed and in pipeline
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 …
Some of my solutions to projects on Codecademy.
Code for a Shiny app calculatiing cost/revenue for churn prevention
Employee Churn Analysis, Feature Importance and Prediction Using Ensembling Model
Business Case Study to predict customer churn rate based on Artificial Neural Network (ANN), with TensorFlow and Keras in Python. This is a customer churn analysis that contains training, testing, and evaluation of an ANN model. (Includes: Case Study Paper, Code)
Used Random Forest model to predict customers likely to churn and recommended discount and pricing strategies to improve customers retention.
A project to predict if customer churns or not using ML algorithms
Home task #5 for Otus course "Big Data ML in Production"
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