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Customer churn refers to the situation when a customer ends their relationship with a company, and its a costly problem. Customers are the fuel that powers a business.
Loss of customers impacts sales. Further, it’s much more difficult and costly to gain new customers than it is to retain existing customers. As a result, organizations need to focus on reducing customer churn.The good news is that machine learning can help. For many businesses that offer subscription-based services, its critical to both predict customer churn and explain what features relate to customer churn.
Older techniques such as logistic regression can be less accurate than newer techniques such as deep learning, which is why we are going to show you how to model an ANN in R with the keras package.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.