Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
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Updated
Sep 28, 2017 - R
Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
Churn Prediction: Predicted customer churn based on the past service incidents,
Customer Churn Analysis using R & RStudio
This code provides a glimpse on how to analyse Churn, Appetency and Upselling using R
This project is the Incident driven contract conversion modelling based on Logit probability.There were two datasets one with conversion information and other past incidence information of a company that provides professional services. The proposed model helps business leaders to take informed decisions about chances of contract renewals based o…
Predict Churn in Telecom Industry Using Logistic Regression with R
Data Science Projects Compilation
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.
An end-to-end churn reduction system.
A data-driven communication strategy with Email Engagement Model, Cluster Analysis and Churn Prediction
Telecom Churn prediction Using Logistic Regression and Random Forest in R
Predict customer churn rate for a mock telecommunications company using explanatory variables such as age, monthly charges, complaints, etc.
Using the data provided for the past 3 months, I have created a model by classifying the first two months as a customer’s happy phase and the 3rd month as a customer entering the sore phase. Based on this, I created a model which predicts which customers will enter the churn phase next month. By using this model, we will be able to identify and …
An R package for calculating the business value of using predictions from a churn model.
Customer Churn Analysis in R: Logistic, Classification Tree, XGBoost, Random Forest.
Client Churn Prediction with Data Mining. Literature Overview and SaaS B2B Case Study thesis repository
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