Heart_disease_prediction and Heart-Disease-Prediction-System-using-Machine-Learning
These two tools are competitors, as both aim to provide a solution for heart disease prediction using machine learning, making a user likely to choose one over the other based on their specific needs and preferred algorithms.
About Heart_disease_prediction
chayandatta/Heart_disease_prediction
Heart Disease prediction using 5 algorithms
Compares five classification algorithms (Logistic Regression, Random Forest, Naive Bayes, KNN, Decision Tree) on the UCI Heart Disease dataset, with hyperparameter tuning to optimize accuracy across models. Delivered as a Jupyter notebook enabling interactive exploration of model performance and feature importance visualization. Targets ML beginners seeking hands-on experience with supervised learning fundamentals and algorithm comparison workflows.
About Heart-Disease-Prediction-System-using-Machine-Learning
nano-bot01/Heart-Disease-Prediction-System-using-Machine-Learning
A Heart Disease Prediction System built on machine learning
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