July 2020
Beginner to intermediate
626 pages
10h 2m
English
Overview
In this chapter, we will be looking at a Polish company's bankruptcy data to try and understand the main reasons behind bankruptcy and whether it could be possible to identify early warning signs. By the end of this chapter, you will be able to perform exploratory data analysis using pandas profiling. You will also be able to apply missing value treatments with two different types of imputers and successfully handle imbalances in the data.
In the previous chapter, we analyzed the data derived from the direct marketing campaign of a Portuguese bank using techniques such as hypothesis testing and clustering to be able to identify the impact it had on acquiring new customers for the bank. ...