ODBIERZ TWÓJ BONUS :: »

Forecasting Time Series Data with Facebook Prophet

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Autor:
Greg Rafferty
Forecasting Time Series Data with Facebook Prophet Greg Rafferty - okładka książki

Forecasting Time Series Data with Facebook Prophet Greg Rafferty - okładka książki

Forecasting Time Series Data with Facebook Prophet Greg Rafferty - okładka audiobooka MP3

Forecasting Time Series Data with Facebook Prophet Greg Rafferty - okładka audiobooks CD

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
270
3w1 w pakiecie:
     PDF
     ePub
     Mobi

Ebook

149,00 zł

Dodaj do koszyka lub Kup na prezent Kup 1-kliknięciem

Przenieś na półkę

Do przechowalni

Prophet enables Python and R developers to build scalable time series forecasts. This book will help you to implement Prophet's cutting-edge forecasting techniques to model future data with higher accuracy and with very few lines of code.

You will begin by exploring the evolution of time series forecasting, from the basic early models to the advanced models of the present day. The book will demonstrate how to install and set up Prophet on your machine and build your fi rst model with only a few lines of code. You'll then cover advanced features such as visualizing your forecasts, adding holidays, seasonality, and trend changepoints, handling outliers, and more, along with understanding why and how to modify each of the default parameters. Later chapters will show you how to optimize more complicated models with hyperparameter tuning and by adding additional regressors to the model. Finally, you'll learn how to run diagnostics to evaluate the performance of your models and see some useful features when running Prophet in production environments.

By the end of this Prophet book, you will be able to take a raw time series dataset and build advanced and accurate forecast models with concise, understandable, and repeatable code.

0 Greg Rafferty

Zamknij

Wybierz metodę płatności