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A Python-based machine learning model for language prediction, developed using pandas and scikit-learn. This ensemble model combines Multinomial Naive Bayes, Random Forest Regressor, and SVM through a soft voting mechanism, achieving 96% accuracy. Also with the addition of a graphical interface in Tkinter. Created as part of a university project.
Peppe-elefante/LanguageDetectionPy
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A Python-based machine learning model for language prediction, developed using pandas and scikit-learn. This ensemble model combines Multinomial Naive Bayes, Random Forest Regressor, and SVM through a soft voting mechanism, achieving 96% accuracy. Also with the addition of a graphical interface in Tkinter. Created as part of a university project.
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