Auffarth, Ben
Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods
- ISBN 13:
- 9781801819626
- author:
- Auffarth, Ben
- format:
- Paperback
- publisher:
- Packt Publishing
- language:
- English
- Publication Year:
- 2021
- Pages:
- 370
- Dimensions:
- 23.5 x 19.1 x 2 centimetres (0.6
- Genre:
- Computers, Programming, Python,
- Condition:
- New
- Availability:
- Item usually sent within 7 working days
Description
Mastering time-series analysis with Python is crucial for unlocking valuable insights from data. This comprehensive guide provides a thorough understanding of popular machine learning methods and helps you build more accurate predictive systems.
By exploring real-world case studies and practical examples, you'll gain confidence in loading time-series datasets, deep learning models, and feature engineering. The book also guides you in selecting the right model for your problem, explaining the theory behind several useful models.
With this book, you'll be equipped to analyze and apply machine learning methods to time-series data with ease, covering topics from traditional autoregressive models to modern non-parametric models. Perfect for those looking to improve their skills in Python time-series analysis.
Related Products
Related Products
Machine Learning for Time Series Forecasting with Python
Lazzeri, Francesca
Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning
Joseph, Manu
Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection
Cerqueira, Vitor
Practical Time Series Analysis: Prediction with Statistics and Machine Learning
Nielsen, Aileen
Machine Learning with Python: A Practical Beginners' Guide (Machine Learning with Python for Beginners)
Theobald, Oliver