Modern Time Series Forecasting with Python – Second Edition (Early Access)
English | 2024 | ISBN: 9781835883181 | 181 Pages | EPUB | 8 MB
Predicting the future, whether it’s market trends, energy demand, or website traffic, has never been more crucial. This practical, hands-on guide empowers you to build and deploy powerful time series forecasting models. With Modern Time Series Forecasting with Python, Second Edition, you’ll master cutting-edge deep learning architectures and advanced statistical techniques alongside classic methods like ARIMA and exponential smoothing. Learn the fundamentals from preprocessing, feature engineering, and evaluation to applying powerful machine and deep learning models, including ensemble and global methods.
