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Agile Machine Learning with DataRobot

You're reading from   Agile Machine Learning with DataRobot Automate each step of the machine learning life cycle, from understanding problems to delivering value

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Product type Paperback
Published in Dec 2021
Publisher Packt
ISBN-13 9781801076807
Length 344 pages
Edition 1st Edition
Languages
Concepts
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Authors (2):
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Bipin Chadha Bipin Chadha
Author Profile Icon Bipin Chadha
Bipin Chadha
Sylvester Juwe Sylvester Juwe
Author Profile Icon Sylvester Juwe
Sylvester Juwe
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Toc

Table of Contents (19) Chapters Close

Preface 1. Section 1: Foundations
2. Chapter 1: What Is DataRobot and Why You Need It? FREE CHAPTER 3. Chapter 2: Machine Learning Basics 4. Chapter 3: Understanding and Defining Business Problems 5. Section 2: Full ML Life Cycle with DataRobot: Concept to Value
6. Chapter 4: Preparing Data for DataRobot 7. Chapter 5: Exploratory Data Analysis with DataRobot 8. Chapter 6: Model Building with DataRobot 9. Chapter 7: Model Understanding and Explainability 10. Chapter 8: Model Scoring and Deployment 11. Section 3: Advanced Topics
12. Chapter 9: Forecasting and Time Series Modeling 13. Chapter 10: Recommender Systems 14. Chapter 11: Working with Geospatial Data, NLP, and Image Processing 15. Chapter 12: DataRobot Python API 16. Chapter 13: Model Governance and MLOps 17. Chapter 14: Conclusion 18. Other Books You May Enjoy

Chapter 9: Forecasting and Time Series Modeling

In this chapter, we will understand what time series are and will see how DataRobot can be used to model them. Time series modeling is becoming increasingly useful in businesses. However, the challenges associated with forecasting make it quite challenging for many skilled data scientists to successfully carry out time series modeling, and this form of modeling could also be extremely time-consuming. DataRobot provides an automated process that enables data scientists to carry out time series projects in an effective and efficient fashion. In this chapter, we will introduce the concept of forecasting, stressing its commercial importance and inherent challenges, and illustrate how DataRobot can be used to build its models.

By the end of this chapter, you will have learned how to utilize DataRobot in building time series forecasting models. In addition, we will look at making predictions with these models. We go further by building models...

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