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harshkumar445 / repository
📌 Heart Disease Prediction A machine learning project that predicts the likelihood of heart disease using clinical data. Includes preprocessing, exploratory analysis, multiple classification models, and performance evaluation. Technologies: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Jupyter Notebook
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krishnaarora023 /
📌This project uses Machine Learning techniques to predict heart disease based on patient health data. It covers the complete workflow including data preprocessing, visualization, and model building using Logistic Regression, SVM, and KNN.
47/100 healthsumitjadhav1703 /
❤️ Heart Disease Prediction using Machine Learning 📌 Project Description This project predicts the risk of heart disease using Machine Learning. The model is built using the K-Nearest Neighbors (KNN) algorithm and deployed using Streamlit.
65/100 healthgarimabaghel /
# Heart Disease Prediction 🔍❤️ Predicts heart disease likelihood using **Logistic Regression** based on **heart rate, chest pain type, and age**. Features include **data preprocessing, model training, and evaluation** for early risk assessment. **Tech Stack:** Python, Pandas, Scikit-learn, Matplotlib. 📌 *Contributions welcome!* 🚀
27/100 health