Customer Churn
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End-to-end example: the Beta Geometric/Negative Binomial Distribution Model (BG/NBD), using Lifetimes in Python
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Apply multilayer perceptron model to retain your customers
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If you know what you are doing, then you don’t need to depend on any…
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For my third project at the Flatiron School, I chose to analyze the dataset on…
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AuDaS is the automated Data Scientist developed by Mind Foundry which aims to allow anyone,…
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