Understanding the online shopper purchasing pattern through Machine learning
Assume that you are working in a consultancy company and one of your client is running an e-commerce company. They are interested in understanding the customer behavior regarding the shopping. They have already collected the users’ session data for a year. Each row belongs to a different user. The “Made_purchase” is an indicator that whether the user has made a purchase or not during that year. Your client is interested in predicting that column using other attributes of the users.