Heart Disease Prediction System With Multiple Algorithm

Python Machine Learning Project on Heart Disease Prediction

The major killer of human death is Heart Disease. Many researchers have discovered new technologies to prognosticate the disease early before it's too late for helping healthcare and people. These processes are still under the research phase. Heart Disease Prediction System Machine Learning Project is faster-emerging technology of Artificial Intelligence that contributes various algorithms for heart disease. Our project provides different classification algorithms to divine the probability of a patient having HD.

Heart Disease Prediction System Machine Learning Project is an emerging AI application that uses different analytics and techniques to improve the performance of particular machine learning from old data. It enables a specific machine to determine from the database and enhance the performance by experience. It helps to build an intelligent tool to solve a particular problem. ML addressed various complex issues that don't answer by statistic algorithms. Heart Disease Prediction System Machine Learning Project provides dynamic algorithms that quickly solve multiple challenging problems. These projects explained the different type of problem which is categorized into three-part. Supervised, unsupervised, and reinforcement type problems. In supervised, there are two types of issues, such as classification and regression problems. In unattended, there is a clustering type problem that can solve ML algorithms. Heart Disease Prediction System Machine Learning Project different algorithms based on their type of problem. The following steps do ML project:

• Defines a problem statement.
• Classifying the problem into ML problems.
• Selecting perfect ML algorithms based on their type of problems.
• Collecting and cleaning the data.
• Training a model from data.
• Test the Model from test data
• Evaluate a model from its accuracy.

Developing a Heart Disease Prediction System Machine Learning Project for health workers and hospitals. To research about prediction using different algorithms and find out the

• Important attributes of HD
• To research and study on NB and DT algorithms for comparing accuracy.
• To identify and evaluate the best out of two algorithms.
• To build an HD Prediction Model by utilizing UCI Datasets and deploy the
• Model into a web app

Algorithm Used to Predict Heart Disease

• Logistic Regression
• Random Forest
• Naive Bayse
• KNN(k-nearest neighbours)
• SVM(Support Vector Machine)
• Decision Tree

Static Pages and other sections :

These static pages will be available in project Cricket Ground Booking System

• Home Page with good UI
• Home Page will contain an animated slider for images banner
• About us page will be available which will describe about the project
• Contact us page will be available in the project

Technology Used in the project Heart Disease Prediction System

We have developed this project using the below technology

• HTML : Page layout has been designed in HTML
• CSS : CSS has been used for all the desigining part
• JavaScript : All the validation task and animations has been developed by JavaScript
• Python : All the business logic has been implemented in Python
• MySQL : MySQL database has been used as database for the project
• Django : Project has been developed over the Django Framework

Supported Operating System

We can configure this project on following operating system.

• Windows : This project can easily be configured on windows operating system. For running this project on Windows system, you will have to install Python, PIP, Django.
• Linux : We can run this project also on all versions of Linux operating system
• Mac : We can also easily configured this project on Mac operating system.