shardik95/Heart-Attack-Prediction-System
Developed a prediction system to predict heart attack based on data of 300 patients and 13 major characteristics obtained from UCI’s machine learning repository and used some of the popular Machine Learning algorithms like Decision Trees, Random Forest, Support Vector Machines, Neural Networks and K Nearest Neighbors for prediction and provided detailed comparative analysis.
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Jan 07, 2019
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