book

Machine Learning for Time Series Forecasting with Python

by Francesca Lazzeri

December 2020

Beginner to intermediate

224 pages

5h 54m

English

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Contents

What Does This Book Cover?Reader Support for This Book
Flavors of Machine Learning for Time Series ForecastingSupervised Learning for Time Series ForecastingPython for Time Series ForecastingExperimental Setup for Time Series ForecastingConclusion
Time Series Forecasting TemplateAn Overview of Demand Forecasting Modeling TechniquesUse Case: Demand ForecastingConclusion
Python for Time Series DataTime Series Exploration and UnderstandingTime Series Feature EngineeringConclusion
AutoregressionMoving AverageAutoregressive Moving AverageAutoregressive Integrated Moving AverageAutomated Machine LearningConclusion
Reasons to Add Deep Learning to Your Time Series ToolkitRecurrent Neural Networks for Time Series ForecastingHow to Develop GRUs and LSTMs for Time Series ForecastingConclusion
Experimental Set Up and Introduction to Azure Machine Learning SDK for PythonMachine Learning Model DeploymentSolution Architecture for Time Series Forecasting with Deployment ExamplesConclusion

Content preview from Machine Learning for Time Series Forecasting with Python

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Publisher Resources

ISBN: 9781119682363Purchase Link