Applied Supervised Learning with R

Learn the ropes of supervised machine learning with R by studying popular real-world use-cases, and understand how it drives object detection in driver less cars, customer churn, and loan default prediction.

Key Features

• Study supervised learning algorithms by using real-world datasets
• Fine tune optimal parameters with hyperparameter optimization
• Select the best algorithm using the model evaluation f...