Heart-Disease-Prediction-Project
PublicThis project implements various machine learning models, including Logistic Regression, Random Forest, and FNN, to predict heart disease. Utilizing Gradio for a user-friendly interface and MLflow for model management, it aims to enhance diagnostic accuracy.
classificationdatasetdecision-treesdeep-learningensemble-learningfeedforward-neural-networkfnngradioheart-disease-predictionlogistic-regression
Creat:2024-10-22T14:26:16
Update:2024-10-22T14:33:01
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