Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
EnsembleMethod.ipynb		EnsembleMethod.ipynb
HeartAttackPrediction-Model 1.ipynb		HeartAttackPrediction-Model 1.ipynb
HeartAttackPrediction-Model 2.ipynb		HeartAttackPrediction-Model 2.ipynb
HeartAttackPrediction-Model 3.ipynb		HeartAttackPrediction-Model 3.ipynb
HeartAttackPrediction-Model 4.ipynb		HeartAttackPrediction-Model 4.ipynb
HeartAttackPrediction-Model 5.ipynb		HeartAttackPrediction-Model 5.ipynb
README.md		README.md
Report.docx		Report.docx
cleveland.data.txt		cleveland.data.txt
hungarian.data.txt		hungarian.data.txt
long-beach-va.data.txt		long-beach-va.data.txt
model1New.h5		model1New.h5
model2New.h5		model2New.h5
model3New.h5		model3New.h5
model4New.h5		model4New.h5
model5New.h5		model5New.h5
processedCleveland.txt		processedCleveland.txt
processedHungarian.txt		processedHungarian.txt
processedLongBeach.txt		processedLongBeach.txt
processedSwitzerland.txt		processedSwitzerland.txt
switzerland.data.txt		switzerland.data.txt
x_test_new.npy		x_test_new.npy
y_test_new.npy		y_test_new.npy

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Heart-Attack-Prediction

About

This projects constructs the fully connected layered (MLP)neural network models to predict the cardio vascular disease in the patient.To validate the models constructed, an ensemble method (using the voting) is implemented.

neural-network mlp uci-machine-learning fully fully-connected-deep-neural-network

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