Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/ksharma67/heart-failure-prediction
This problem is a typical Classification Machine Learning task. Building various classifiers by using the following Machine Learning models: Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), XGBoost (XGB), Light GBM and Support Vector Machines with RBF kernel.
https://github.com/ksharma67/heart-failure-prediction
auc-roc-curve auc-roc-score decision-trees eda eli5 gridsearchcv lightgbm lime logistic-regression numpy pandas python random-forest seaborn shap skit-learn sklearn svm xgboost
Last synced: 10 days ago
JSON representation
This problem is a typical Classification Machine Learning task. Building various classifiers by using the following Machine Learning models: Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), XGBoost (XGB), Light GBM and Support Vector Machines with RBF kernel.
- Host: GitHub
- URL: https://github.com/ksharma67/heart-failure-prediction
- Owner: ksharma67
- Created: 2022-12-13T16:40:34.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2022-12-16T20:14:07.000Z (almost 2 years ago)
- Last Synced: 2023-03-08T12:19:51.271Z (over 1 year ago)
- Topics: auc-roc-curve, auc-roc-score, decision-trees, eda, eli5, gridsearchcv, lightgbm, lime, logistic-regression, numpy, pandas, python, random-forest, seaborn, shap, skit-learn, sklearn, svm, xgboost
- Language: Jupyter Notebook
- Homepage:
- Size: 10.1 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0