Practitioners Guide to Data Science: Streamlining Data Science Solutions using Python, Scikit-Learn, and Azure ML Service Platform - Nasir Ali Mirza
-25% ar kodu BOOKS
Piegāde 15-21 darba dienu laikā
30 dienu atgriešanas politika
"How is the Data Science project to be implemented?" has never been more conceptually sounding, thanks to the work presented in this book. This book provides an in-depth look at the current state of the world's data and how Data Science plays a pivotal role in everything we do. This book explains and implements the entire Data Science lifecycle using well-known data science processes like CRISP-DM and Micro ... Pilns apraksts
Jums varētu patikt arī
TOP
The Demon-Haunted World: Science as a Candle in the Dark
-25% ar kodu BOOKS
Piegādātāja noliktavā
TOP
The Code Book: The Science of Secrecy from Ancient Egypt to Quantum Cryptography
-25% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Many Faces, One Purpose: A Managers Handbook on Women in Firefighting
U. S. Fire Administration, Homeland Security
-25% ar kodu BOOKS
Nav noliktavā
TOP
The Gulf Moment: Arab Relations Since 2011
Florence Gaub, U. S. Army War College, Strategic Studies Institute
-25% ar kodu BOOKS
Nav noliktavā
TOP
How Africa Works: Success and Failure on the World's Last Developmental Frontier
-25% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Introduction to Algorithms
Ronald L. Rivest, Charles E. Leiserson, Clifford Stein, Thomas H. Cormen
-25% ar kodu BOOKS
Piegādātāja noliktavā
TOP
The Unaccountability Machine: Why Big Systems Make Terrible Decisions
-25% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Skin in the Game: Hidden Asymmetries in Daily Life
-25% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Dinosaurs and Prehistoric Life: The Definitive Visual Guide to Prehistoric Animals
-25% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Crossing Borders: About the birth of the Consortium of European Research Libraries, the organisation's early years and its path to maturity, spanning the period from the late twentieth century to the first decades of the twenty-first century
-25% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Cybernetics: Second Edition: Or the Control and Communication in the Animal and the Machine
-25% ar kodu BOOKS
Piegādātāja noliktavā
TOP
101 Things I Learned in Architecture School
-25% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Einhundert Zitate Female Edition: Ein Postkartenbuch mit 100 Zitaten
-25% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Architektur Berlin, Bd. 15 | Building Berlin, Vol. 15: Baukultur in und aus der Hauptstadt | The latest architecture in and out of the capital
-25% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Only Dull People Are Brilliant at Breakfast
-24% ar kodu BOOKS
Piegādātāja noliktavā
Cook This Book: Techniques That Teach and Recipes to Repeat: A Cookbook
-25% ar kodu BOOKS
Piegādātāja noliktavā
Aprašymas
"How is the Data Science project to be implemented?" has never been more conceptually sounding, thanks to the work presented in this book. This book provides an in-depth look at the current state of the world's data and how Data Science plays a pivotal role in everything we do. This book explains and implements the entire Data Science lifecycle using well-known data science processes like CRISP-DM and Microsoft TDSP. The book explains the significance of these processes in connection with the high failure rate of Data Science projects. The book helps build a solid foundation in Data Science concepts and related frameworks. It teaches how to implement real-world use cases using data from the HMDA dataset. It explains Azure ML Service architecture, its capabilities, and implementation to the DS team, who will then be prepared to implement MLOps. The book also explains how to use Azure DevOps to make the process repeatable while we're at it. By the end of this book, you will learn strong Python coding skills, gain a firm grasp of concepts such as feature engineering, create insightful visualizations and become acquainted with techniques for building machine learning models. TABLE OF CONTENTS 1. Data Science for Business 2. Data Science Project Methodologies and Team Processes 3. Business Understanding and Its Data Landscape 4. Acquire, Explore, and Analyze Data 5. Pre-processing and Preparing Data 6. Developing a Machine Learning Model 7. Lap Around Azure ML Service 8. Deploying and Managing Models
Vairāk informācijas
| Autors | Nasir Ali Mirza |
|---|---|
| Izdevējs | BPB Publications |
| Izlaides gads | 2022 |
| Vāka tips | Mīkstais vāks |
| EAN | 9789391392871 |