Provides a foundation in classical parametric methods of regression and classification essential for pursuing advanced topics in predictive analytics and statistical learning
This book covers a broa……続きを見る
Build an understanding of XGBoost and gain hands-on experience with the XGBoost Python API through multiple practical use cases for classification, Regression and Time series analysis including mode……続きを見る
This book introduces descriptive statistics and covers a broad range of topics of interest to students and researchers in various applied science disciplines. This includes measures of location, spr……続きを見る
This book focuses on correlation coefficients and its applications in applied science fields. The book begins by describing the historical development and various types of correlations. Rank correla……続きを見る
