Time Series Analysis with Python Cookbook - Second Edition

Key Features

• Explore up-to-date forecasting and anomaly detection techniques using statistical, machine learning, and deep learning algorithms
• Learn different techniques for evaluating, diagnosing, and optimizing your models
• Work with a variety of complex data with trends, multiple seasonal patterns, and irregularities

Who this book is for

This book is for data analysts, business analysts, data scientists, data engineers, and Python developers who want to learn time series analysis and forecasting techniques step by step through practical Python recipes.

To get the most out of this book, you’ll need fundamental Python programming knowledge. Prior experience working with time series data to solve business problems will help you to better utilize and apply the recipes more quickly.