Скачать или смотреть Heart Disease Prediction using Machine Learning | IEEE Projects for Computer Science 2024

Heart Disease Prediction using Machine Learning | IEEE Projects for Computer Science 2024

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Heart Disease Prediction using Machine Learning

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Heart Disease Prediction Project developed using python programming language and tkinter library is used for designing graphical user interface. Machine Learning Model is trained on dataset of CSV file, it contain multiple rows with different identity. In this project we first trained the model and that particular model is used in project. It contains training code from which model got trained and user have to write testing code to test on that particular dataset. This machine learning model works with 3 algorithm that is Decision Tree, Random Forest, Naive Bayes they provides model accuracy and prediction of heart disease with three different algorithm.

Software Requirements :-
• Coding Language : Python
• Implementation: Software Framework.
• Operating system : Windows 10 / 11.
• Graphical User Interface : Tkinter

Hardware Requirement :-
• Input Devices : Keyboard, Mouse.
• System : Pentium i3 Processor.
• Hard Disk : 500 GB.
• Ram : 4 GB.

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