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heartDiseasePrediction

Mubshr07 / heartDiseasePrediction

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This repo is the Machine Learning practice on NHANES dataset of Heart Disease prediction. The ML algorithms like LR, DT, RF, SVM, KNN, NB, MLP, AdaBoost, XGBoost, CatBoost, LightGBM, ExtraTree, etc. The results are good. I also explore the class-balancing (SMOTE) because the original dataset contains only 5% of patient and 95% of healthy record.

machine-learning random-forest svm xgboost lightgbm logistic-regression adaboost svm-classifier nhanes knn-classification mlp-classifier catboost mlp-networks navies-bayes-classifer dicision-tree extratreesclassifier nhanes-data
  • Updated Apr 13, 2024
  • Jupyter Notebook

sanu0711 / Disease-Prediction-System

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This project implements a Disease Prediction System using various machine learning algorithms to predict potential diseases based on user-provided symptoms. The system utilizes a Django web framework to provide a user-friendly interface for inputting symptoms and viewing the predicted disease.

machine-learning-algorithms python3 naive-bayes-classifier disease svm-classifier random-forest-classifier machi sklearn-library sckiit-learn knn-algorithm dicision-tree dja disease-prediction-system
  • Updated Apr 14, 2024
  • Python

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