Comet for Data Science

This book will give you the key knowledge and skills required to manage Data Science projects using Comet.

Key Features

• Discover techniques to build, monitor and optimize your Data Science projects
• Move from prototyping to production using Comet and DevOps tools
• Get to grips with the Comet experimentation platform

Book Description

This book provides concepts and practical use-cases which can be used to quickly build, monitor, and optimize Data Science projects. Using Comet, you will learn how to manage almost every step of the data science process from data collection all the way through to creating, deploying, and monitoring a machine learning model.

The book starts by explaining the many features of Comet, along with exploratory data analysis and model evaluation in Comet. You'll see how Comet gives you the freedom to choose from a selection of programming languages, depending on which is best suited to your needs.

We will deep dive into workspaces, projects, experiments, and models. You will also learn how to build a narrative from your data, using the features provided by Comet. Later you will review the basic concepts behind DevOps and how to extend the Gitlab DevOps platform with Comet further enhancing your ability to deploy your Data Science projects.

Lastly, we will cover various use cases of Comet in Machine Learning, NLP, Deep learning, and Time series analysis, giving you hands-on experience with some of the most interesting and valuable Data Science techniques available.

By the end of the book, you will be able to confidently build and manage Data Science pipelines to your bespoke specifications and manage them through Comet.

What you will learn

• Prepare for your project with the right data
• Understand the purposes of different ML algorithms
• Get up and running with Comet to manage and monitor your pipelines
• Understand how Comet works and how to get the most out of it
• See how you can use Comet for machine learning
• Learn how to integrate Comet with Gitlab
• Work with Comet for NLP, deep learning, and time series analysis

Who This Book Is For

This book is intended for people who have programming experience, and want to learn how to manage and optimize a complete Data Science lifecycle using Comet and other DevOps platforms. You will need to understand basic Data Science concepts and programming concepts but will require no prior knowledge of Comet and DevOps.

Table of Contents

1. An Overview of Comet
2. Exploratory Data Analysis in Comet
3. Model Evaluation in Comet
4. Workspaces, Projects, Experiments and Models
5. Building a Narrative in Comet
6. An Overview of DevOps concepts
7. Extending the Gitlab DevOps platform with Comet
8. Comet for Machine Learning
9. Comet for Natural Language Processing
10. Comet for Deep Learning
11. Comet for Time Series Analysis