Book Image

The Data Science Workshop

By : Anthony So, Thomas V. Joseph, Robert Thas John, Andrew Worsley, Dr. Samuel Asare
Book Image

The Data Science Workshop

By: Anthony So, Thomas V. Joseph, Robert Thas John, Andrew Worsley, Dr. Samuel Asare

Overview of this book

You already know you want to learn data science, and a smarter way to learn data science is to learn by doing. The Data Science Workshop focuses on building up your practical skills so that you can understand how to develop simple machine learning models in Python or even build an advanced model for detecting potential bank frauds with effective modern data science. You'll learn from real examples that lead to real results. Throughout The Data Science Workshop, you'll take an engaging step-by-step approach to understanding data science. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend training a model using sci-kit learn. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding. Every physical print copy of The Data Science Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your data science book. Fast-paced and direct, The Data Science Workshop is the ideal companion for data science beginners. You'll learn about machine learning algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead.
Table of Contents (18 chapters)

Overview of Python

As mentioned earlier, Python is one of the most popular programming languages for data science. But before diving into Python's data science applications, let's have a quick introduction to some core Python concepts.

Types of Variable

In Python, you can handle and manipulate different types of variables. Each has its own specificities and benefits. We will not go through every single one of them but rather focus on the main ones that you will have to use in this book. For each of the following code examples, you can run the code in Google Colab to view the given output.

Numeric Variables

The most basic variable type is numeric. This can contain integer or decimal (or float) numbers, and some mathematical operations can be performed on top of them.

Let's use an integer variable called var1 that will take the value 8 and another one called var2 with the value 160.88, and add them together with the + operator, as shown here:

var1 =...