Fighting Churn with Data is the the book by Carl Gold, PhD. The book is based on his experiences as Chief Data Scientist at Zuora (NYSE: ZUO) using data science techniques to reduce churn in subscription services. Churn is the bane of subscription products and channels. Data Scientists, ...
Fighting Churn with Datais the the book byCarl Gold, PhD. The book is based on his experiences asChief Data ScientistatZuora(NYSE: ZUO) using data science techniques to reduce churn in subscription services. Churn is the bane of subscription products and channels. Data Scientists, machine learn...
But you don’t need a degree in data science to take advantage of this book: I will review enough of the basics so that anyone with a little programming experience can get great results. With that in mind, I refer to you, the reader, as a data person because this book is written ...
Churn Analyzer: Analyze and understand user churn rate in your PostgreSQL database effortlessly. pythonpsql-databasechurnchurn-analyticschurn-analysischurn-ratecalculate-churn-rate UpdatedJun 22, 2023 Jupyter Notebook Telecommunication Churn Price Prediction Project. Full Project with Code, Documents and Re...
DATA scienceTELECOMMUNICATION ratesBUSINESS enterprisesQUALITY of servicePYTHON programming languageSCIENTIFIC methodMACHINE learningThe telecommunication company functioned in the market with extremely high competitiveness. Attracting new customers needs 5-10 times more expenses than maintaining an exi...
Carl Goldis the Chief Data Scientist at Zuora, Inc, a comprehensive subscription management platform and newly public Silicon Valley “unicorn”. Zuora is widely recognized in a leader in all things pertaining to subscription and recurring revenue, with 1,000 customers across a range of industries...
In order to retain customers both on-line and in print, it is therefore critical to predict and mitigate customer churn. Newspapers typically have heterogeneous sources of valuable data: circulation data, customer subscription information, news content, and search click log data. An ensemble of ...
This repository contains analysis of churn in telephone service company (using IV and WOE), comparison of effect size and information value and quick tutorial how to use information value module (created for this analysis). pythondata-sciencestatistical-analysisinformation-valueweight-of-evidenceobject-...
Great read October 22, 2020 byMaxim V.(NL) “Perhaps not up to the challenges of ITP, yet it gives a very thorough overview of how to deal with customer data effectively in practice.” Company Choice relevant content and convenient book formats (liveBook, ePub) ...
data-sciencemachine-learningartificial-intelligencesupervised-learningclassificationlogistic-regressionchurn-predictionchurn-modellingchurn-modeling UpdatedFeb 2, 2023 Jupyter Notebook Churn Modelling with Bank Customer Prediction using ANN: Utilizing Artificial Neural Networks for predicting customer churn in banking...