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

The video tutorial covers the use of support vector classifiers (SVC) in machine learning, focusing on building and training models using scikit-learn. It explains the setup process, model training, and evaluation using cross-validation. The tutorial also delves into hyperparameter tuning for both RBF and linear kernels, using grid search to optimize parameters like gamma and C. The video concludes with a comparison of model performance, highlighting the simplicity and effectiveness of linear models.

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