Beginning Anomaly Detection Using Python-Based Deep Learning: Implement Anomaly Detection Applications with Keras and PyTorch

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2024

S. K. Adari, S. AllaBeginning Anomaly Detection Using Python-Based Deep Learninghttps://doi.org/10.1007/979-8-8688-0008-5_2

2. Introduction to Data Science

Suman Kalyan Adari¹   and Sridhar Alla²

(1)

Tampa, FL, USA

(2)

Delran, NJ, USA

 

This chapter introduces you to the basic principles of the data science workflow. These concepts will help you prepare your data as necessary to be fed into a machine learning model as well as understand its underlying structure through analysis.

You will learn how to use the libraries Pandas, Numpy, Scikit-Learn, and Matplotlib to load, manipulate, and analyze data. Furthermore, you will learn how to perform data I/O; manipulate, ...