/Increasing-Subscription-Rate

Developing machine learning model to predict a user who is most unlikely to subscribe for the paid membership of the app, used Logistic Regression to classify the users based on the app behavior usage and was able to predict with an accuracy of 77%, Overall this can be helpful for marketing team to target the ads for the user who are less likely to subscribe for paid version, this also helps to give the promotional offers only to specific set of customers there by reducing the marketing cost.

Primary LanguageJupyter NotebookMIT LicenseMIT

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