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In this project, algorithms such as Svm, Knn, Decision Tree were trained and performance results were recorded with the data sets we created. Later, community learning algorithms such as Random Forest, AdaBoost and Voting were trained, performance results were recorded and these performance results were compared and analyzed.

License: MIT License

Python 100.00%
python ensemble-learning svm decision-trees machine-learning adaboost voting random-forest knn-classification knn svm-classifier voting-classifier

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Python-Ensemble-Learning-


eng :In this project, algorithms such as Svm, Knn, Decision Tree were trained and performance results were recorded with the data sets we created. Later, community learning algorithms such as Random Forest, AdaBoost and Voting were trained, performance results were recorded and these performance results were compared and analyzed.

tr : Bu projede, kendi oluşturduğumuz veri setlerini kullanılarak Svm, Knn , Decision Tree gibi algoritmalar eğitilerek başarım sonuçları kayıt edilmiştir. Daha sonra Random Forest, AdaBoost, Voting gibi ensemble learning (topluluk öğrenmesi) algoritmaları eğitilerek başarım sonuçları kayıt edilmiştir ve kayıt edilen bu başarım sonuçları karşılaştırılarak incelenmiştir.

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