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This work is focused on the prediction of customer departures in telecommunications through data analysis. Departures in telecommunications are a relatively common issue, and if potential customers were detected much earlier, their departure could be prevented in many cases. Our work's mission was to predict such customers' departures by using data analysis and by creating decision models. The eventual model will determine which customers are potentially risky and how big the risk is.
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Unlocking AI potential / Return of Experience
GNU Affero General Public License v3.0Welcome! We created this notebook to provide a practical example of how AI and Data Science can be used when dealing with content personalization. It's also a follow up on our article Return of Experience which can be found at http://bit.ly/2qHwBBN
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Samm Du / CSC110 Final Project
MIT LicenseThe Effect of Global Warming on Hurricane and Typhoon Occurrence
https://nbviewer.jupyter.org/urls/gitlab.com/sammdu/csc110-final-project/-/raw/master/main.ipynb
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Unlocking AI potential / Predictive Analytics
GNU Affero General Public License v3.0Welcome! We created this notebook to provide a practical example of how AI and Data Science can be used when dealing with predictive analytics.
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