Using Machine Learning to Identify Customer Segments
Project Overview Fortunately in data science you shouldn’t always have labels because we have unsupervised learning, it’s not as accurate as the supervise learning but sometimes we do not have labels and unsupervised learning comes to the rescue, unsupervised learning “clustering” is used via corporate to identify their customers and to try to make segments out of them, the segments could be used for making targeted campaigns and customised solutions for each segment, Problem Statement launching marketing campaigns without a target audience is a waste of money, you will spend extra money and get less results of your campaign in order to identify your target audience you’ll have to study and understand your current customers, in order to do that you would have to make segments out of your customers depending on the characteristics of each customer, in this project I will try to make segments out of the customers so the mailing company knows whose to target in ...