Doprava zdarma při nákupu nad 1 499 Kč přes Zásilkovnu nebo PPL Box.

Zjistit stav objednávky

Staňte se součástí komunity milovníků knih z celého světa a získejte hromadu výhod. Založit účet zdarma

Doprava zdarma se Zásilkovnou nad 1 499 Kč

Kurýr DPD 69 Kč PPL shop 49 Kč Balíkovna 69 Kč PPL kurýr 74 Kč PPL box 39 Kč Balíkovna 49 Kč Výdejní místo DPD 49 Kč Zásilkovna 39 Kč

Kontakt

Jak nakupovat

Pomoc

Můj účet

▸ Prázdný :-(

Doprava zdarma při nákupu nad 1 499 Kč přes Zásilkovnu nebo PPL Box.

Time Series Forecasting in Python

Name: Time Series Forecasting in Python
Brand: Manning Publications
SKU: 38609936
Price: 1528 CZK
Availability: InStock
Author: Marco Peixeiro
ISBN: 9781617299889

Marco Peixeiro

Jazyk

Angličtina

Kniha Brožovaná

Libristo kód: 38609936

Nakladatelství Manning Publications, říjen 2022

Build predictive models from time-based patterns in your data. Master statistical models including... Celý popis

Libristo kód: 38609936

153 b

Top

1 528 Kč

Skladem u dodavatele Odesíláme za 3-5 dnů

30 dní na vrácení zboží

Zákazníci také koupili

UNDERSTANDING DEEP LEARNING PRINCE SIMON J D

Pevná

2 249 Kč

Practical Time Series Analysis Aileen Nielsen

Brožovaná

1 317 Kč

Hands-On Large Language Models Maarten Grootendorst

Brožovaná

1 226 Kč

Machine Learning Design Patterns Sara Robinson

Brožovaná

1 124 Kč

Designing Machine Learning Systems Chip Huyen

Brožovaná

1 124 Kč

Generative Deep Learning David Foster

Brožovaná

1 268 Kč

AI and Machine Learning For Coders Laurence Moroney

Brožovaná

1 049 Kč

Build a Large Language Model (from Scratch) Raschka

Brožovaná

1 270 Kč

Learning Domain-Driven Design Vlad Khononov

Brožovaná

1 049 Kč

Software Architecture: The Hard Parts Mark Richards

Brožovaná

1 268 Kč

Python for Data Analysis 3e Wes Mckinney

Brožovaná

1 268 Kč

Robust Python Patrick Viafore

Brožovaná

894 Kč

Version Control with Git Prem Kumar Ponuthorai

Brožovaná

1 049 Kč

Google Cloud Certified Associate Cloud Engineer St udy Guide, 2nd edition Sullivan

Brožovaná

880 Kč

Agentic Artificial Intelligence Jochen Wirtz

Brožovaná

474 Kč

Python Tricks Dan Bader

Brožovaná

616 Kč

Engineering Management for the Rest of Us Sarah Drasner

Brožovaná

303 Kč

AI Engineering Chip Huyen

Brožovaná

1 321 Kč

Fundamentals of Software Architecture Mark Richards

Brožovaná

1 282 Kč

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.

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.