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Time Series Forecasting In Python By Marco Peixeiro EPUB

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	Status:	All the torrents in this section have been verified by our verification system
Category:	eBooks
Infohash	b9b7bef9fc93b9900ace32e7f4d423d252395493
Size:	17.1 MB in 2 files
Release Date(s):	Torrent Release: 22-10-2023 by user
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Time Series Forecasting in Python by Marco Peixeiro EPUB

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.

About the technology

You can predict the future—with a little help from Python, deep learning, and time series data! Time series forecasting is a technique for modeling time-centric data to identify upcoming events. New Python libraries and powerful deep learning tools make accurate time series forecasts easier than ever before.

About the book

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

About the reader

For data scientists familiar with Python and TensorFlow.

About the author

Marco Peixeiro is a seasoned data science instructor who has worked as a data scientist for one of Canada’s largest banks.

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	Time Series Forecasting in Python by Marco Peixeiro.epub	17.1 MB
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