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Machine Learning with Python: Decision Trees

In this course, it goes over Decision trees as they’re one of the most common approaches used in supervised machine learning. I learned about how building a decision tree allows you to model complex relationships between variables by mimicking if-then-else decision-making as a naturally occurring human behavior. In this course, instructor Frederick Nwanganga gave an overview of how to collect, explore, and transform your data in preparation for building decision tree models in Python. I learned what they are, how they are built, and how they quantify impurity within a partition. Lastly, I learned tips on building, visualizing, pruning, and using a decision tree in Python

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