July 2020
Beginner to intermediate
626 pages
10h 2m
English
Overview
In this chapter, we are going to analyze medical data. We will use various data analysis techniques, such as searching for missing values and outliers, and plot visualizations to observe trends and patterns that exist in the data. We will create bar charts, heatmaps, and other visualizations using seaborn and Matplotlib to understand how the features we'll be looking at affect the target column of the dataset.
In the previous chapter, we looked at a dataset regarding credit cards, which was used to predict whether or not the customers would default. We applied different data analysis techniques, such as univariate analysis and bivariate analysis, to understand and process customers' ...