Name: Time Series Forecasting in Python
SKU: 209266
Price: 699 SEK
Availability: InStock
Author: Marco Peixeiro
ISBN: 9781617299889

Dina villkor

20% rabatt med Storytel
Du handlar alltid fysiska böcker till specialpriser om du har eller startar ett abonnemang.
Frakt från 0 kr
Snabb leverans med CityMail, Early Bird, Instabox, Budbee, PostNord eller DSV. Du ser alla fraktalternativ och priser i kassan.
Fria returer
Lämna tillbaka din bok kostnadsfritt med 14 dagars ångerrätt.

Om boken

Time Series Forecasting in Python – Marco Peixeiro | Storytel Books

Om boken

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

DESCRIPTION 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.Time Series Forecasting in Python teaches you to apply time series forecasting and get immediate, meaningful predictions. You'll learn both traditional statistical and new deep learning models for time series forecasting, all fully illustrated with Python source code.
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. about the technology Time series forecasting reveals hidden trends and makes predictions about the future from your data. This powerful technique has proven incredibly valuable across multiple fields—from tracking business metrics, to healthcare and the sciences. Modern Python libraries and powerful deep learning tools have opened up new methods and utilities for making practical time series forecasts. about the book Time Series Forecasting in Python teaches you to apply time series forecasting and get immediate, meaningful predictions. You'll learn both traditional statistical and new deep learning models for time series forecasting, all fully illustrated with Python source code. Test your skills with hands-on projects for forecasting air travel, volume of drug prescriptions, and the earnings of Johnson & Johnson. By the time you're done, you'll be ready to build accurate and insightful forecasting models with tools from the Python ecosystem.

Om boken

Om boken

Om boken

Om boken

Om boken

Time Series Forecasting in Python

Om boken

Om boken

Time Series Forecasting in Python

Om boken

Prova Storytel och få rabatt på fysiska böcker

Om boken

Andra som läste detta läste också

Romaner alla pratar om

Prisade och mest lästa

Specifikation

Om boken

Specifikation

Om boken

Specifikation

Om boken

Specifikation

Om boken

Specifikation

Om boken

Specifikation

Om boken

Specifikation

Om boken

Specifikation

Om boken

Prova Storytel och få rabatt på fysiska böcker

Specifikation

Om boken