Heart Disease Prediction System ║ Tools used, Data Set Used, Logistic Regression Explained ║ Part 2
Heart Disease Prediction System (HDPS) is a simple, user-friendly web-based application that can predict heart disease using Machine Learning Algorithm Logistic Regression. 13 different attributes like age, sex, cholesterol, etc. are taken from the User to predict Heart Disease.
In this video, we will learn
What tools and technology was used
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Machine Learning Steps
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Machine Learning Algorithm Logistic Regression
Gradient Descent and SigmoidFunction in Logistic Regression
Calculation of Accuracy, Precision, Recall and F-Score
#HDPS #LogisticRegression #MLproject
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How to run the project :
Install python and its libraries NumPy, Pandas and Sklearn along with Django.
Clone or download the project from GitHub and use the following command where manage.py file is present.
Python manage.py runserver ( to run the server )
for admin
username : admin
password : adminadmin
Open http://localhost:8000/ if you don't see the web app, Start with the following Commands
1. python manage.py collectstatic ( to collect static files )
2. python manage.py makemigrations ( to ready migrate )
3. python manage.py migrate (to migrate)
4. python manage.py createsuperuser ( to create your own superuser )
5.python manage.py runserver ( to run the server )
6. open http://localhost:8000/
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Article : https://focusustech.com/blog/machine-...
Source Code : https://github.com/rabeent/HDPS-Focus...
Data Set : https://archive.ics.uci.edu/ml/datase...
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HDPS Part 1 : • Heart Disease Prediction System using Logi...
HDPS Part 2 : • Heart Disease Prediction System ║ Tools us...
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