Book Image

Agile Machine Learning with DataRobot

By : Bipin Chadha, Sylvester Juwe
Book Image

Agile Machine Learning with DataRobot

By: Bipin Chadha, Sylvester Juwe

Overview of this book

DataRobot enables data science teams to become more efficient and productive. This book helps you to address machine learning (ML) challenges with DataRobot's enterprise platform, enabling you to extract business value from data and rapidly create commercial impact for your organization. You'll begin by learning how to use DataRobot's features to perform data prep and cleansing tasks automatically. The book then covers best practices for building and deploying ML models, along with challenges faced while scaling them to handle complex business problems. Moving on, you'll perform exploratory data analysis (EDA) tasks to prepare your data to build ML models and ways to interpret results. You'll also discover how to analyze the model's predictions and turn them into actionable insights for business users. Next, you'll create model documentation for internal as well as compliance purposes and learn how the model gets deployed as an API. In addition, you'll find out how to operationalize and monitor the model's performance. Finally, you'll work with examples on time series forecasting, NLP, image processing, MLOps, and more using advanced DataRobot capabilities. By the end of this book, you'll have learned to use DataRobot's AutoML and MLOps features to scale ML model building by avoiding repetitive tasks and common errors.
Table of Contents (19 chapters)
1
Section 1: Foundations
5
Section 2: Full ML Life Cycle with DataRobot: Concept to Value
11
Section 3: Advanced Topics

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...