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eBook Details: Paperback: 308 pages Publisher: WOW! eBook (December 13, 2024) Language: English ISBN-10: 180512305X ISBN-13: 978-1805123057 eBook Description: XGBoost for Regression Predictive Modeling and Time Series Analysis: Learn how to build, evaluate, and deploy predictive models with expert guidance. Master the art of predictive modeling with XGBoost and gain hands-on experience in building powerful regression, classification, and time series models using the XGBoost Python API. XGBoost offers a powerful solution for regression and time series analysis, enabling you to build accurate and efficient predictive models. In this XGBoost for Regression Predictive Modeling and Time Series Analysis book, the authors draw on...

eBook Details: Paperback: 274 pages Publisher: WOW! eBook (March 29, 2024) Language: English ISBN-10: 1805129236 ISBN-13: 978-1805129233 eBook Description: Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection. Learn how to deal with time series data and how to model it using deep learning and take your skills to the next level by mastering PyTorch using different Python recipes. Most organizations exhibit a time-dependent structure in their processes, including fields such as finance. By leveraging time series analysis and forecasting, these organizations can make informed decisions and optimize their performance. Accurate forecasts help reduce...