{"product_id":"forecasting-time-series-data-with-prophet-second-edition-build-improve-and-optimize-time-series-forecasting-models-using-metas-advanced-forecast-paperback","title":"Forecasting Time Series Data with Prophet - Second Edition: Build, improve, and optimize time series forecasting models using Meta's advanced forecast - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eGreg Rafferty\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCreate and improve fully automated forecasts for time series data with strong seasonal effects, holidays, and additional regressors using Python\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePurchase of the print or Kindle book includes a free PDF eBook\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eExplore Prophet, the open source forecasting tool developed at Meta, to improve your forecasts\u003c\/li\u003e\n\u003cli\u003eCreate a forecast and run diagnostics to understand forecast quality\u003c\/li\u003e\n\u003cli\u003eFine-tune models to achieve high performance and report this performance with concrete statistics\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eForecasting Time Series Data with Prophet will help you to implement Prophet's cutting-edge forecasting techniques to model future data with high accuracy using only a few lines of code. This second edition has been fully revised with every update to the Prophet package since the first edition was published two years ago. An entirely new chapter is also included, diving into the mathematical equations behind Prophet's models. Additionally, the book contains new sections on forecasting during shocks such as COVID, creating custom trend modes from scratch, and a discussion of recent developments in the open-source forecasting community.\u003c\/p\u003e\u003cp\u003eYou'll cover advanced features such as visualizing forecasts, adding holidays and trend changepoints, and handling outliers. You'll use the Fourier series to model seasonality, learn how to choose between an additive and multiplicative model, and understand when to modify each model parameter. Later, you'll see 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 in production.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll be able to take a raw time series dataset and build advanced and accurate forecasting models with concise, understandable, and repeatable code.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand the mathematics behind Prophet's models\u003c\/li\u003e\n\u003cli\u003eBuild practical forecasting models from real datasets using Python\u003c\/li\u003e\n\u003cli\u003eUnderstand the different modes of growth that time series often exhibit\u003c\/li\u003e\n\u003cli\u003eDiscover how to identify and deal with outliers in time series data\u003c\/li\u003e\n\u003cli\u003eFind out how to control uncertainty intervals to provide percent confidence in your forecasts\u003c\/li\u003e\n\u003cli\u003eProductionalize your Prophet models to scale your work faster and more efficiently\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book is for business managers, data scientists, data analysts, machine learning engineers, and software engineers who want to build time-series forecasts in Python or R. To get the most out of this book, you should have a basic understanding of time series data and be able to differentiate it from other types of data. Basic knowledge of forecasting techniques is a plus.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 282\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.59 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e March 31, 2023\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52478754324787,"sku":"9781837630417","price":71.78,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/T3poMFA2UmdZUUZtVE5WT0Iwc1JIdz09.webp?v=1759658285","url":"https:\/\/www.vysn.com\/en-ca\/products\/forecasting-time-series-data-with-prophet-second-edition-build-improve-and-optimize-time-series-forecasting-models-using-metas-advanced-forecast-paperback","provider":"VYSN","version":"1.0","type":"link"}