In this hands-on assignment, we'll use the Pandas python library to explore a dataset and then prepare it for machine learning algorithms. The dataset we'll be using is a medical dataset with information about some patients on metrics like glucose, insulin levels, and other metrics related to diabetes. The primary objectives for this assignment are - (a) practice Pandas on a realistic task, (b) learn how to get a feel for a large dataset (also known as data cleaning and data exploration), (c) see the distinction between Pandas and NumPy and (d) learn the typical flow for data preparation.
Part of course:
Hands-on Assignment: Data Exploration and Preparation with Pandas
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