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Home > Data > Data Science > 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

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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Profile Icon Lazy Programmer
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NZ$14.99 NZ$160.99
Video Feb 2023 2hrs 11mins 1st Edition
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NZ$14.99 NZ$160.99
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Free Trial
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Profile Icon Lazy Programmer
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NZ$14.99 NZ$160.99
Video Feb 2023 2hrs 11mins 1st Edition
Video
NZ$14.99 NZ$160.99
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Free Trial
Video
NZ$14.99 NZ$160.99
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Free Trial

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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 :
Data
Languages :
Python
Concepts :
Data Science
Tools :
Prophet

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Product Details

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

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Frequently bought together

Modern Time Series Forecasting with Python
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Data Science - Time Series Forecasting with Facebook Prophet in Python
Data Science - Time Series Forecasting with Facebook Prophet in Python
Read more
Feb 2023 2hrs 11mins
Video
Video
  • Video Video NZ$14.99
NZ$14.99 NZ$160.99
Stars icon
Total NZ$ 166.97 312.97 146.00 saved
Modern Time Series Forecasting with Python
NZ$77.99
Building Statistical Models in Python
NZ$73.99
Data Science - Time Series Forecasting with Facebook Prophet in Python
NZ$14.99 NZ$160.99
Total NZ$ 166.97 312.97 146.00 saved Stars icon
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Table of Contents

3 Chapters
Welcome Chevron down icon Chevron up icon
Introduction
Outline
Time Series Basics Chevron down icon Chevron up icon
Time Series Basics Section Introduction
Forecasting Metrics
The Naive Forecast and the Importance of Baselines
Walk-Forward Validation
Suggestion Box
Facebook Prophet Chevron down icon Chevron up icon
How Does Prophet Work?
Prophet: Code Preparation
Prophet in Code: Data Preparation
Prophet in Code: Fit, Forecast, Plot
Prophet in Code: Holidays and Exogenous Regressors
Prophet in Code: Cross-Validation
Prophet in Code: Changepoint Detection
Prophet: Multiplicative Seasonality, Outliers, Non-Daily Data
(The Dangers of) Prophet for Stock Price Prediction
Prophet Section Summary

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About the author

Profile icon Lazy Programmer
Lazy Programmer
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The Lazy Programmer, a distinguished online educator, boasts dual master's degrees in computer engineering and statistics, with a decade-long specialization in machine learning, pattern recognition, and deep learning, where he authored pioneering courses. His professional journey includes enhancing online advertising and digital media, notably increasing click-through rates and revenue. As a versatile full-stack software engineer, he excels in Python, Ruby on Rails, C++, and more. His expansive knowledge covers areas like bioinformatics and algorithmic trading, showcasing his diverse skill set. Dedicated to simplifying complex topics, he stands as a pivotal figure in online education, adeptly navigating students through the nuances of data science and AI.
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