Introduction to Time Series Forecasting with Python: How to...

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Introduction to Time Series Forecasting...

Introduction to Time Series Forecasting with Python: How to Prepare Data and Develop Models to Predict the Future (Version 1.9)

Jason Brownlee

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Time series forecasting is different from other machine learning problems.

The key difference is the fixed sequence of observations and the constraints and additional structure this provides.

In this mega Ebook written in the friendly Machine Learning Mastery style that you’re used to, finally cut through the math and specialized methods for time series forecasting.

Using clear explanations, standard Python libraries and step-by-step tutorials you will discover how to load and prepare data, evaluate model skill, and implement forecasting models for time series data.

Categorías:

Computers - Programming

Año:

2020

Edición:

v1.9

Editorial:

Machine Learning Mastery

Idioma:

english

Páginas:

365

Serie:

Machine Learning Mastery

Archivo:

PDF, 7.17 MB

IPFS:

,

english, 2020

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