https://github.com/souvikmajumder26/ieee-ecg-ensemble-xgboost
👨💻 Developed AI Models - Ensemble of Random Forest & SVM and XGBoost classifiers to classify five types of Arrhythmic Heartbeats from ECG signals - published by IEEE.
https://github.com/souvikmajumder26/ieee-ecg-ensemble-xgboost
data-science ensemble-classifier ensemble-learning ensemble-machine-learning ensemble-model machine-learning matplotlib numpy pandas python python3 random-forest scikit-learn scikit-learn-python scikitlearn-machine-learning support-vector-machine svm svm-classifier svm-model xgboost
Last synced: 3 months ago
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👨💻 Developed AI Models - Ensemble of Random Forest & SVM and XGBoost classifiers to classify five types of Arrhythmic Heartbeats from ECG signals - published by IEEE.
- Host: GitHub
- URL: https://github.com/souvikmajumder26/ieee-ecg-ensemble-xgboost
- Owner: souvikmajumder26
- Created: 2021-07-03T08:12:33.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2023-06-10T01:59:17.000Z (about 2 years ago)
- Last Synced: 2023-06-10T02:27:18.706Z (about 2 years ago)
- Topics: data-science, ensemble-classifier, ensemble-learning, ensemble-machine-learning, ensemble-model, machine-learning, matplotlib, numpy, pandas, python, python3, random-forest, scikit-learn, scikit-learn-python, scikitlearn-machine-learning, support-vector-machine, svm, svm-classifier, svm-model, xgboost
- Language: Jupyter Notebook
- Homepage:
- Size: 294 KB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0