Who this book is for

This book is primarily designed for beginners to data science, and those who are eager to delve into the application of deep learning for time series analysis and forecasting. We assume that you have a basic understanding of Python, which will help you to navigate the coding recipes more easily. We also rely on popular data manipulation libraries such as pandas and NumPy. So, a familiarity with these will improve your reading experience.

We expect you to have basic knowledge concerning fundamental machine learning concepts and techniques. Understanding things such as supervised and unsupervised learning, as well as being familiar with classification, regression, cross-validation, and evaluation methodologies, is important to get the most out of this book.