Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Decision Trees

The video tutorial covers the installation of necessary packages and setting up the environment for decision tree modeling. It explains data preparation and cleaning using pandas, followed by constructing and visualizing a decision tree with sklearn. The tutorial explores random forests to prevent overfitting and applies decision trees to a self-driving car scenario. It concludes with cross-validation and a discussion on the limitations of decision trees compared to logistic regression.

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