Book Image

Comet for Data Science

By : Angelica Lo Duca
Book Image

Comet for Data Science

By: Angelica Lo Duca

Overview of this book

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 through to creating, deploying, and monitoring a machine learning model. The book starts by explaining the 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. Next, you will focus on 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. Finally, you will cover various use cases of Comet in machine learning, NLP, deep learning, and time series analysis, gaining hands-on experience with some of the most interesting and valuable data science techniques available. By the end of this book, you will be able to confidently build data science pipelines according to bespoke specifications and manage them through Comet.
Table of Contents (16 chapters)
1
Section 1 – Getting Started with Comet
5
Section 2 – A Deep Dive into Comet
10
Section 3 – Examples and Use Cases

Exploring the Prophet package

Prophet is an algorithm for time series analysis, released by Facebook’s Core Data Science team. Other algorithms exist for time series analysis, including Autoregressive Integrated Moving Average (ARIMA) and Seasonal Autoregressive Integrated Moving Average (SARIMA). You can refer to the books in the Further reading section if you are interested in them.

In this section, you will investigate Prophet, with a focus on the following aspects:

  • Introducing the Prophet package
  • Integrating Prophet with Comet

Let’s start with the first point, introducing the Prophet package.

Introducing the Prophet package

To build a model using Prophet, you can proceed as follows:

  1. Firstly, you import the Prophet library:
    from prophet import Prophet
  2. Then, you build a Prophet() object:
    model = Prophet()
  3. You train the model:
    model.fit(df)
  4. You build a dataset with future dates:
    future = model.make_future_dataframe(periods...