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Minimizing-Customer-Churn-Rate
Subscription products often are the main source of revenue for companies across all industries. These products can come in the form of a 'one size fits all' overcompassing subscription, or in multi-level memberships. Regardless of how they structure their membership, or what industry they are in, companies almost always try to minimize customer churn (in other words ; Subscription Cancellation). To retain their customers, these companies first need to identify behavioral patterns that act as catalyst in disengagement with the product.Careem-Dataset
Careem provided this dataset in a recent hackathon where the problem was to predict the destination of the user when he opens the app and the app would then book a ride in a blink of an eye. One-click booking makes things faster and easier for the customer, and knowing where a customer would like to go next โ even before they tell us โ allows us to improve our service by ensuring the busier areas have a greater supply of transport options. The Careem data science team asked the question, โif we build a supervised machine-learning model to solve this problem, what are the most important and informative features needed to predict where a user goes?โLove Open Source and this site? Check out how you can help us