Kirk Borne

XGBoost for Regression, Predictive Modeling, and Time Series Analysis — Learn how to build, evaluate, & deploy predictive models: https://t.co/DsGwnEX177 v/ @PacktDataML — My review: 🟠XGBoost is definitely the focal point and central contribution of this book, along with all those other things: Regression Trees, Predictive Modeling, Time Series Analysis, and Forecasting. 🟠This book’s added value comes in its thorough progression from start to finish with comprehensive coverage of all the major steps and issues in data science and machine learning modeling: data cleaning, imbalanced data, feature engineering, feature engineering pipeline, feature importance, categorical data encoding, model interpretability and explainability, ensembles, model training, model evaluation metrics, hyperparameter tuning, model deployment, and more - including a quick-start case study starter project that feeds into next-level projects. 🟠I highly recommend this broadly useful book for all levels of practitioners.