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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

Product type Paperback

Published in Dec 2021

Publisher Packt

ISBN-13 9781801076807

Length 344 pages

Edition 1st Edition

Languages

Python

Tools

Datarobot

Concepts

Agile

Authors (2):

Bipin Chadha

Sylvester Juwe

View More author details

Table of Contents (19) Chapters

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

Using the DataRobot Python client

The Python programming language is one of the most popular programming languages used by data scientists. It is flexible yet powerful. Being able to integrate the AutoML capabilities of DataRobot and utilize the flexibility of Python offers data scientists various benefits, as we mentioned earlier.

Programming in Python using the Jupyter IDE.

Now, let's explore the DataRobot Python client.

To use the DataRobot Python client, Python must be version 2.7 or 3.4+. The most up-to-date version of DataRobot must be installed. For the cloud version, the pip command will install the most recent version of the DataRobot package. On Python, running !pip install datarobot should install the DataRobot package.

Having installed the DataRobot package, the package has been imported. The Client method of the DataRobot package provides the much-needed connection to the DataRobot instance. As shown in Figure 12.3, the basic format for the Client...

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Authors (2)

Chadha

Chadha

Bipin Chadha is a hands-on leader of data science teams who can find innovative solutions to complex problems. He creates systemic data-driven models that enable executives to understand how their business operates, analyze a broad range of scenarios and strategies, and understand the likely implications of decisions and events prior to implementing risky changes. His passion is building data-driven cultures, developing effective teams, and driving organizations to grow and succeed.

See other products by Chadha

Juwe

Juwe

Sylvester Juwe is a highly accomplished Executive, with hands-on technical expertise implementing complex Big Data and Advanced Analytics solutions, from conceptualisation to commercial impact. He is a well versed leader who leverages sophisticated data capabilities, influences stakeholders, and creates a strong culture of governance and curiosity in solving complex business challenges, thereby creating commercial impact.

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