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team
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Look inside
In this liveProject, you’ll develop a simple machine learning algorithm that can determine from data metrics which of your customers are likely to churn out of an online business. You’ll develop an XGBoost machine learning model and explain its predictions, then build a logistic regression statistical forecasting and analysis model to also predict churn. By the time you’re done, you’ll have two reliable and automated tools for spotting when customers are likely to leave so that your marketing team can easily intercede.
This project is designed for learning purposes and is not a complete, production-ready application or solution.
prerequisites
This liveProject is suitable for anyone with a basic background in programming and data analysis, who wants to really make a difference to a business's churn. To begin this liveProject you will need to be familiar with:TOOLS
- Basic Python
- Basic PostgreSQL
- Basic machine learning cross validation and forecasting
- Basic logistic regression model fitting and forecasting
features
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- You choose the schedule and decide how much time to invest as you build your project.
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- Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.
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pro
monthly
annual
$24.99
$249.99
only $20.83 per month
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- choose twelve free products per year
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Churn Forecasting project for free
Churn Forecasting project for free
team
monthly
annual
$49.99
$499.99
only $41.67 per month
- five seats for your team
- access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
- choose another free product every time you renew
- choose twelve free products per year
- exclusive 50% discount on all purchases
-
![]()
Churn Forecasting project for free
