Logistic Regression for Sales Prediction

In this paper, we present a system to predict sales of a product. It is based on logistic regression technique. We train the algorithm using the past sales data of a certain product and we predict whether a customer will buy the product in the following day. We experiment with various parameters, such as regularization constant and number of customers and show the results.