End to End ML classification project

Heart Disease Classification

Predict whether the patient has heart disease or not based on the clinical data.

Activities and Tasks

• Experiment with popular classifiers like Logistic Regression, Decision Tree, KNN and Random Forest.

• Hyperparameter tuning using RandomizedSearchCV and GridSearchCV from Scikit-learn.

• Model evaluation using metrics like accuracy, precision, recall and F1 score.

• Visualizing the results using confusion matrix and ROC curve.

Full Changelog: https://github.com/WebDevCaptain/heart-disease-classification/commits/v1.0.0