Time series forecasting in Python

By: Peixeiro, MarcoMaterial type: TextTextPublication details: New York Manning 2022Description: xxv, 426 p. illustrationsISBN: 9781617299889Subject(s): Time-series analysis | Time-series analysis | Python (Computer program language)DDC classification: 519.55 Summary: Time Series Forecasting in Python teaches you how to get immediate, meaningful predictions from time-based data such as logs, customer analytics, and other event streams. In this accessible book, you’ll learn statistical and deep learning methods for time series forecasting, fully demonstrated with annotated Python code. Develop your skills with projects like predicting the future volume of drug prescriptions, and you’ll soon be ready to build your own accurate, insightful forecasts. What's inside Create models for seasonal effects and external variables Multivariate forecasting models to predict multiple time series Deep learning for large datasets Automate the forecasting process
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
Item type Current library Collection Call number Status Date due Barcode
BK BK Kannur University Central Library
Stack
Stack 519.55 PEI/T (Browse shelf (Opens below)) Available 68263A

Time Series Forecasting in Python teaches you how to get immediate, meaningful predictions from time-based data such as logs, customer analytics, and other event streams. In this accessible book, you’ll learn statistical and deep learning methods for time series forecasting, fully demonstrated with annotated Python code. Develop your skills with projects like predicting the future volume of drug prescriptions, and you’ll soon be ready to build your own accurate, insightful forecasts.

What's inside

Create models for seasonal effects and external variables
Multivariate forecasting models to predict multiple time series
Deep learning for large datasets
Automate the forecasting process

There are no comments on this title.

to post a comment.
Managed by HGCL Team

Powered by Koha