Decision Trees in Python: Theory and Practical Example
In this video, you'll learn about the theory behind decision trees, an algorithm used for classification and regression in machine learning. It explains how decision trees are built, what metrics are used, and how to interpret and visualize the resulting tree. It also shows a practical example using the Iris dataset to classify flower species. Learn how to implement and fit a decision tree in Python and make a prediction. Don't miss this valuable lesson on decision trees and their application in machine learning!
Efrén Juárez
Decision Trees for Classification and Regression in Python
Classification: DecisionTreeClassifier https://scikit-learn.org/stable/modul...
Example: https://drive.google.com/file/d/1UkA6...
Regression: DecisionTreeRegressor https://scikit-learn.org/stable/modul...
Example: https://drive.google.com/file/d/1UlwN...
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