Marco Peixeiro

Time Series Forecasting in Python

• Broschiertes Buch

Produktbeschreibung

Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting. In Time Series Forecasting in Python you will learn how to: * Recognize a time series forecasting problem and build a performant predictive model * Create univariate forecasting models that account for seasonal effects and external variables * Build multivariate forecasting models to predict many time series at once * Leverage large datasets by using deep learning for forecasting time series * Automate the forecasting process Time Series Forecasting in Python teaches you to build powerful predictive models from time-based data. Every model you create is relevant, useful, and easy to implement with Python. You'll explore interesting real-world datasets like Google's daily stock price and economic data for the USA, quickly progressing from the basics to developing large-scale models that use deep learning tools like TensorFlow.

Produktdetails

• Verlag: Manning Publications
• Seitenzahl: 456
• Erscheinungstermin: 10. November 2022
• Englisch
• Abmessung: 231mm x 189mm x 27mm
• Gewicht: 846g
• ISBN-13: 9781617299889
• ISBN-10: 161729988X
• Artikelnr.: 63331822

Autorenporträt

Marco Peixeiro is a seasoned data science instructor who has worked as a data scientist for one of Canada’s largest banks. He is an active contributor to Towards Data Science, an instructor on Udemy, and on YouTube in collaboration with freeCodeCamp.