Table of Contents
Preface
Section 1 – Getting Started with Comet
Chapter 1: An Overview of Comet
Technical requirements
comet-ml
matplotlib
numpy
pandas
scikit-learn
Motivation, purpose, and first access to the Comet platform
Motivation
Purpose
First access to the Comet platform
Getting started with workspaces, projects, experiments, and panels
Workspaces
Projects
Experiments
Panels
First use case – tracking images in Comet
Downloading the dataset
Dataset cleaning
Building the visualizations
Integrating the graphs in Comet
Building a panel
Second use case – simple linear regression
Initializing the context
Defining, fitting, and evaluating the model
Showing results in Comet
Summary
Further reading
Chapter 2: Exploratory Data Analysis in Comet ...
Get Comet for Data Science now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.