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Heart Disease Prediction with ML Models by anirudhsaiguthi is a document available to read on EtoBox.

What is Heart Disease Prediction with ML Models about?

This internship report presents a machine learning project focused on predicting heart disease using a dataset of patient health attributes. It discusses the problem of cardiovascular diseases, the models used (Decision Tree, Logistic Regression, SVM), and the layered architecture of the solution. The results indicate varying accuracy among models, highlighting the effectiveness of machine learning in this healthcare task and suggesting future improvements through advanced methods.

Author
anirudhsaiguthi
Language
EN

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