Introduction

In the previous chapter, we practiced tackling company bankruptcy using various techniques such as pandas profiling for exploratory data analytics and lasso regularization to find feature importance. In this chapter, we will analyze online shoppers' purchasing intentions.

Consumer shopping on the internet is growing year by year. However, the conversion rates have remained more or less the same. For example, most of us browse through e-commerce websites such as Amazon, perhaps adding items to a wish list or even an online shopping cart, only to end up buying nothing.

From this common truth comes the need for tools and solutions that can customize promotions and advertisements for online shoppers and improve this conversion. In this chapter, we will be analyzing various factors that affect a purchaser's decision.

Note

This chapter will be using data from the Online Shoppers Purchasing Intention Dataset, which can be obtained from the UCI repository...