repository includes machine learning models: SVC (Support Vector Classifier): Finds the optimal hyperplane for classification. RFC (Random Forest Classifier): An ensemble of decision trees for robust classification. DT (Decision Tree): A simple, interpretable tree-based model. GaussianNB: A probabilistic classifier assuming feature independence.
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repository includes machine learning models: SVC (Support Vector Classifier): Finds the optimal hyperplane for classification. RFC (Random Forest Classifier): An ensemble of decision trees for robust classification. DT (Decision Tree): A simple, interpretable tree-based model. GaussianNB: A probabilistic classifier assuming feature independence.
AhmedSakkijha/Machine-Learning-Models
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repository includes machine learning models: SVC (Support Vector Classifier): Finds the optimal hyperplane for classification. RFC (Random Forest Classifier): An ensemble of decision trees for robust classification. DT (Decision Tree): A simple, interpretable tree-based model. GaussianNB: A probabilistic classifier assuming feature independence.
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