The diagnosis of heart disease is usually based on signs, symptoms and physical examination of the patient. There are several factors that increase the risk of heart disease, such as smoking habit, body cholesterol level, family history of heart disease, obesity, high blood pressure, and lack of physical exercise.
This is the code for Heart Disease Analysis and Prediction Project made as a part of Machine Learning and Data Science Course at ZeroToMastery Acadamy.
Clone this Repository using,
git clone https://github.com/mayursrt/customer-segmentation-using-k-means.git
Install jupyter from here or use
pip install jupyter
After installing jupyter notebook Just run jupyter notebook in terminal and you can visit the notebook in your web browser.
Create an environment using the requirements.txt using pip by using following command so you dont have to install dependencies one by one,
pip -r requirements.txt
If you need to use conda to create the environment, Read conda docs on managing environments here
Install missing dependencies using,
pip install pandas numpy matplotlib seaborn sklearn