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Data Science - Time Series Forecasting with Facebook Prophet in Python
Data Science - Time Series Forecasting with Facebook Prophet in Python

Data Science - Time Series Forecasting with Facebook Prophet in Python: Learn how to use Prophet for time series forecasting with Python

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₹800 per month
Video Feb 2023 2hrs 11mins 1st Edition
Video
₹799 ₹8192.99
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Renews at ₹800p/m
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Profile Icon Lazy Programmer
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₹800 per month
Video Feb 2023 2hrs 11mins 1st Edition
Video
₹799 ₹8192.99
Subscription
Free Trial
Renews at ₹800p/m
Video
₹799 ₹8192.99
Subscription
Free Trial
Renews at ₹800p/m

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Key benefits

  • Teaches how to make a forecast using Prophet
  • Explains how to use Prophet to predict stock prices
  • Covers how to use Prophet to plot the model’s in-sample predictions and forecast

Description

Prophet enables Python and R developers to build scalable time series forecasts. This course will help you implement Prophet’s cutting-edge forecasting techniques to model future data with higher accuracy and with very few lines of code. In this course, you will learn how to use Facebook Prophet to do time series analysis and forecasting. You will learn how the Prophet works under the hood (that is, what are its modeling assumptions?) and the Prophet API (that is, how to write the code). This course is a practice-oriented course, demonstrating how to prepare your data for Prophet, fit a model, and use it to forecast, analyze the results, and evaluate the model’s predictions. We will apply Prophet to a variety of datasets, including store sales and stock prices. You will learn how to use Prophet to plot the model’s in-sample predictions and forecast. Then, learn how to plot the components of the fitted model. You will also learn how to deal with outliers, missing data, and non-daily (for example, monthly) data. By the end of this course, you will be able to use Prophet confidently to forecast your data.

Who is this book for?

Anyone interested in data science, machine learning, or who wishes to use time series analysis on their own data should take this course. Good Python programming skills are required, as well as knowledge of Pandas, Dataframes, and preferably some familiarity with Scikit-Learn, though this is not required.

What you will learn

  • Prepare your data (a Pandas dataframe) for Facebook Prophet
  • Learn how to fit a Prophet model to a time series
  • Plot the components of the fitted model
  • Model holidays and exogenous regressors
  • Evaluate your model with forecasting metrics
  • Learn how to do changepoint detection with Prophet

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Feb 24, 2023
Length: 2hrs 11mins
Edition : 1st
Language : English
ISBN-13 : 9781803237466
Category :
Languages :
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What do you get with a Packt Subscription?

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Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
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Product Details

Publication date : Feb 24, 2023
Length: 2hrs 11mins
Edition : 1st
Language : English
ISBN-13 : 9781803237466
Category :
Languages :
Concepts :
Tools :

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Table of Contents

3 Chapters
Welcome Chevron down icon Chevron up icon
Time Series Basics Chevron down icon Chevron up icon
Facebook Prophet Chevron down icon Chevron up icon
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