Machine Learning for Time Series: Use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods, 2nd Edition

Price: $31.81
(as of Dec 24,2024 17:05:31 UTC – Details)

ASIN ‏ : ‎ B0BR5DRZGN
Publisher ‏ : ‎ Packt Publishing (April 9, 2025)
Publication date ‏ : ‎ April 9, 2025
Language ‏ : ‎ English
Text-to-Speech ‏ : ‎ Enabled

In the realm of time series analysis, machine learning has become an invaluable tool for forecasting, predicting, and detecting anomalies. With the release of the 2nd Edition of “Machine Learning for Time Series: Use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods,” readers can delve deeper into the latest techniques and applications in this rapidly evolving field.

This comprehensive guide, authored by experts in the field, provides a hands-on approach to understanding and implementing machine learning algorithms for time series data using Python. From basic concepts to advanced methodologies, readers will learn how to leverage cutting-edge techniques to extract valuable insights from their time series datasets.

Key topics covered in this edition include:

– Introduction to time series analysis and machine learning
– Data preprocessing and feature engineering
– Forecasting and prediction using popular algorithms like ARIMA, LSTM, and XGBoost
– Anomaly detection and outlier identification
– Model evaluation and performance metrics
– Real-world case studies and practical applications

Whether you’re a seasoned data scientist looking to expand your knowledge or a beginner eager to dive into the world of time series analysis, this book offers something for everyone. With its clear explanations, code examples, and hands-on exercises, “Machine Learning for Time Series” equips readers with the tools they need to tackle complex time series problems with confidence.

Don’t miss out on this essential resource for mastering machine learning techniques in time series analysis. Get your copy of the 2nd Edition today and take your skills to the next level!
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