GitHub - Anubhavkumar31/simple-heart_disease_prediction-using-logisticRegression: Its a simple yet good model which predicts if a person have heart disease or not. This is a binary classification model i.e its output is either 0(dont have heart disease) or 1 (have heart disease).

TO RUN THIS FOLLOW THE GIVEN STEPS:-

step-1 : - download the repository on your local platform

step-2 : - you will need to install the dependencies if not already installed, this project uses panda, numpy, sklearn dependencies.

step-3 : - make sure to download dataset too, also in python code where the csv file is loaded , make sure the path of dataset is correct.

step-3 : - open the terminal and run the python code

NOTE : for user testing i have hardcode the input values, you can make changes according to your need.

dataset_source : - THIS DATASET HAS BEEN TAKEN FROM KAGGLE.

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
dataset		dataset
model		model
README.md		README.md

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