Decision Tree Classifier - Information Gain
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This lecture is about Decision Tree Classifier. So you can learn how to use entropy in order to construct the decision tree itself. After constructing the Decision Tree it is relatively simple to make predictions - of course we need the features.
Check out the Machine Learning and AI Masterclass if you are interested in machine learning and computer vision related approaches and algorithms in Python.
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Видео Decision Tree Classifier - Information Gain канала Global Software Support
🎁 FREE Machine Learning Course - https://bit.ly/3oY4aLi
🎁 FREE Python Programming Course - https://bit.ly/3JJMHOD
📱 FREE Algorithms Visualization App - http://bit.ly/algorhyme-app
This lecture is about Decision Tree Classifier. So you can learn how to use entropy in order to construct the decision tree itself. After constructing the Decision Tree it is relatively simple to make predictions - of course we need the features.
Check out the Machine Learning and AI Masterclass if you are interested in machine learning and computer vision related approaches and algorithms in Python.
✅ Facebook: https://www.facebook.com/globalsoftwarealgorithms/
✅ Instagram: https://www.instagram.com/global.software.algorithms
Видео Decision Tree Classifier - Information Gain канала Global Software Support
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