1. Introduction to Data Science in Python
Overview
By the end of this chapter, you will be able to explain what data science is and distinguish between supervised and unsupervised learning. You will also be able to explain what machine learning is and distinguish between regression, classification, and clustering problems. You will be able to create and manipulate different types of Python variable, including core variables, lists, and dictionaries. You will build a for loop, print results using f-strings, and define functions. You will also import Python packages and load data in different formats using pandas. You will also get your first taste of training a model using scikit-learn.
This very first chapter will introduce you to the ...
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