Given: data of over 5000 people, provided 11 features • Analyse the data and drop unnecessary features , Prepossessing the data for the best fit , Applying different classifier models and aiming for best accuracy
anjaliagarwal152615/Stroke-Prediction
Given: data of over 5000 people, provided 11 features • Analyse the data and drop unnecessary features , Prepossessing the data for the best fit , Applying different classifier models and aiming for best accuracy
Jupyter NotebookMIT