XGBoost for Regression Predictive Modeling and Time Series Analysis

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 Key Features Get up and running with this quick-start guide to building a classifier using XGBoost Get an easy-to-follow, in-depth explanation of the XGBoost technical paper Leverage XGBoost for time series forecasting by using moving average, frequency, and window methods Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionXGBoost offers a powerful solution for regression and time series analysis, enabling you to build accurate and efficient predictive models. In this book, the authors draw on their combined experience of 40+ years in the semiconductor industry to help you harness the full potential of XGBoost, from understanding its core concepts to implementing real-world applications. As you progress, you'll get to grips with the XGBoost algorithm, including its mathematical