Comet for Data Science
This book will show you how to use Comet to enhance your organization’s data science projects. It offers detailed explanations of concepts, practical use cases, and best practices for managing every aspect of your data science project through Comet, from data exploration to model deployment and report building.
Offered by
Difficulty Level
Intermediate
Completion Time
13h24m
Language
English
About Book
Who Is This Book For?
This book is for anyone who has programming experience, and wants to learn how to manage and optimize a complete data science lifecycle using Comet and other DevOps platforms. Although an understanding of basic data science concepts and programming concepts is needed, no prior knowledge of Comet and DevOps is required.
Comet for Data Science
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 13h24m total length
An Overview of Comet
Exploratory Data Analysis in Comet
Model Evaluation in Comet
Workspaces, Projects, Experiments and Models
Building a Narrative in Comet
Integrating Comet into DevOps
Extending the Gitlab DevOps Platform with Comet
Comet for Machine Learning
Comet for Natural Language Processing
Comet for Deep Learning
Comet for Time Series Analysis
Related Resources
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