Hands-On Ensemble Learning with PythonEnglish | July 19th, 2019 | ISBN: 1789612853 | 298 pages...
Key Features
• Implement ensemble models using algorithms such as random forests and AdaBoost
• Apply boosting, bagging, and stacking ensemble methods to improve the prediction accuracy of your model
• Explore real-world data sets and practical examples coded in scikit-learn and Keras
Book Description
Ensembling is a technique of combining...
