Big Data Analysis using ensemble machine learning of scikit-learn in Python (English Edition)

In this book, scikit-learn which is the best open source machine learning library is introduced for businessman or businesswoman and used in Python for big data analysis. This book is suitable to the interested layman who would like to analyze big data without serious programming in Python. Three examples are illustrated how to use ensemble machine learning for big data analysis. In the first example, rules between poker hands (five cards) and their rankings can be trained using ensemble machine learning. In the second example, the conventional multiple regression method is compared with the ensemble machine learning by using ice cream sales with data of the daily high temperature and the number of passers-by. In the last example, Artificial wine sommelier is built by red wine quality data. The illustrated ensemble machine learning includes AdaBoost, Bagging, ExtraTrees, GradientBoosting, and RandomForest.