After Scraping – Next Steps and Data Analysis
So far, we have learned how to scrape the web, analyze the data collected, and apply machine learning (ML) algorithms using Python programming.
This chapter will provide a basic introduction to some emerging concepts and technologies that are becoming crucial in the field. Being able to draw insights and knowledge from data is in high demand, and even supply-related scopes have been growing exponentially. From the fields of research to business, the importance of data has grown rapidly. Artificial intelligence (AI)-based systems, powered by ML logic, will continue to consume and generate more data.
In this chapter, we will learn about the following topics:
- What happens after scraping?
- Web requests
- Data processing
- Jobs and careers
