eBook Details: Paperback: 382 pages Publisher: WOW! eBook (November 29, 2024) Language: English ISBN-10: 1837639027 ISBN-13: 978-1837639021 eBook Description: Causal Inference in R: Decipher complex relationships with advanced R techniques for data-driven decision-making. Master the fundamentals to advanced techniques of causal inference through a practical, hands-on approach with extensive R code examples and real-world applications. Determining causality in data is difficult due to confounding factors. Written by an applied scientist specializing in causal inference with over a decade of experience, Causal Inference in R provides the tools and methods you need to accurately establish causal relationships, improving data-driven decision-making. This book helps...

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...