Data Bytes - A Tutorial on Ensemble-Based Machine Learning Model

In this hands-on tutorial, we will discuss decision tree-based machine learning models by first providing a basic understanding of the algorithm for determining a decision tree. We will then show how decision-tree models can be improved through random forest models, which combine outputs of multiple decision trees. Workshop participants will have the opportunity to work on developing a decision-tree model using the Python library scikit-learn and Google Colab as the Python interface.

This workshop is co-sponsored by the Chemical Engineering Graduate Student Association (ChEGSA).