Decision Trees and Model Selection Course
COURSE ID: CIS534
In this course, you will be introduced to the classification and regression trees (CART) algorithm. By implementing CART, you will build decision trees for a supervised classification problem. Next, you will explore how the hyperparameters of an algorithm can be adjusted and what impact they have on the accuracy of a predictive model. Through this exploration, you will practice selecting an appropriate model for a problem and dataset. You will then load a live dataset, select a model, and train a classifier to make predictions on that data.
The courses Problem-Solving with Machine Learning, Estimating Probability Distributions, and
Who should enroll in this course?
- Data analysts
- Data scientists
- Software engineers
Machine Learning Certificate