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Using Python and Scikit-learn, we generated a dataset that is linearly separable and consists of two classes - so, in short, a simple and binary dataset. We then created a SVM with a linear kernel for ...
More specifically, we will use Scikit-learn, a Python framework for machine learning, for creating our SVM classifier. It is one of the most widely used frameworks and therefore a perfect candidate ...
On the surface, teaching a computer to do something like image classification seemed very intriguing to us. Moreover, there are countless real-world applications of this concept. It is in light of ...
This study aims to compare the performance of two classification methods—Support Vector Machine (SVM) and Convolutional Neural Network (CNN)—in identifying music genres based on audio data from the ...