A practical guide covering data analysis techniques for Kaggle competitions. - Title: Data Analysis Techniques to Win on Kaggle - Authors: Daisuke Kadowaki, Tomoki Sakata, Keisuke Hosaka, Kenji Hiramatsu - Publisher: Gijutsu Hyohronsha - Contents: Optimization of evaluation metrics, leaks, feature engineering, model creation, virtual boosting, validation, parameter tuning, feature selection, ensembling, stacking Thank you for viewing. There is some soiling on the cover (please check the photos), but there is no problem with reading the book. Please consider purchasing only if you are not concerned as this is a used item.