Hyperparameter Tuning in R

Overview

Context of the Hyperparameter Tuning in R course at Data Camp

For many machine learning problems, simply running a model out-of-the-box and getting a prediction is not enough; you want the best model with the most accurate prediction.

One way to perfect your model is with hyperparameter tuning, which means optimizing the settings for that specific model.

Furthermore, you will work with different datasets and tune different supervised learning models, such as random forests, gradient boosting machines, support vector machines, and even neural nets. Get ready to tune!