From the course: Python for AI Projects: From Data Exploration to Impact

Unlock this course with a free trial

Join today to access over 25,500 courses taught by industry experts.

Data exploration

Data exploration

- [Instructor] Now that we've had a taste of natural language processing, we're ready to dive into supervised machine learning, using a real world product recommendation problem, from our Explore California case study. Explore California is an online travel business that offers curated tours across the state, from coastal road trips to wine country retreats. In this section, we'll work with tour purchase data and user attributes to help us build smarter AI powered recommendation systems. We'll begin by loading in our Explore California data sets, which include a list of tour products, sales data, showing which users purchased which tours, and a set of binary user attributes, things like loves hiking or interested in family activities. Once the data is loaded, we'll take our time to understand its structure by reviewing a few sample rows to get a sense of the inputs we'll be working with. We'll also inspect the shape of our data…

Contents