Machine Learning for Time Series with Python, 2nd Edition

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Machine Learning for Time Series with Python, 2nd Edition | 6.6 MB

Title: Machine Learning for Time Series with Python, 2nd Edition
Author: Dr. Ben Auffarth
Category: Computer Vision, Planning & Forecasting, Linear Programming
Language: English | ISBN: 9781837639397

Description:

Get better insights from time-series data and become proficient in building models with real-world data Key Features

• Explore time series forecasting and time series analysis in Python using ARIMA, SARIMA, GARCH, gradient boosting, and recurrent neural networks.
• Improve predictive modeling with feature engineering and forecasting machine learning techniques.
• Apply demand forecasting and financial forecasting methods through practical case studies and real-world datasets.

Book DescriptionMachine Learning for Time Series, Second Edition offers a practical guide to building forecasting systems with the most important libraries such as sktime, darts, Nixtla's skforecast and mlforecast, and AutoGluon among others. Starting with the fundamentals, you'll learn how to characterize datasets, measure and validate prediction performance, engineer features, and build forecasting pipelines.The book covers classical methods such as ARIMA and Theta, machine...

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