Chapter 16: Case Study 2 – Predicting COVID-19 Hospitalizations
This chapter is going to provide an excellent learning opportunity to perform a predictive analysis from scratch. By the end of this chapter, you will have learned a valuable lesson about preprocessing. We will take the COVID-19 pandemic as an example. This is a good case study because there is lots of data available about different aspects of the pandemic such as covid hospitalizations, cases, deaths, and vaccinations.
In this chapter, we're going to cover the following:
- Introducing the case study
- Preprocessing the data
- Analyzing the data
Technical requirements
You will be able to find all of the code examples and the dataset that is used in this chapter in this book's GitHub ...
Get Hands-On Data Preprocessing in Python now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
