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Classification model for choosing mobile carrier plan

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Project description:

Mobile carrier Megaline has found out that many of their subscribers use legacy plans. They want to develop a model that would analyze subscribers behavior and recommend one of Megaline's newer plans: Smart or Ultra. We have access to behavior data about subscribers who have already switched to the new plans.

Goal of the project:

Develop a classification model that will pick the right mobile plan with the highest possible accuracy. The threshold for accuracy is 0.75.

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Classification model for choosing mobile carrier plan

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