Heart attack risk prediction using a Kaggle dataset and machine learning. This project includes data preprocessing, exploratory data analysis (EDA), predictive modeling using machine learning algorithms, and insights derived from meaningful data visualizations. Built with Python, pandas, scikit-learn, and matplotlib.
active 2025-01-17 → 2025-01-17 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2025-01-17 to 2025-01-17. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
Nobody pushed, opened or commented here in the loaded window — this repo's activity is stars and forks only.
Recent activity
Latest issues, pull requests and releases
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.