- Posted By: freeproject
- Comments: 0
Python Machine Learning Project on Diabetes Prediction System
This machine learning project, called the Diabetes Prediction System, uses provided data to predict the presence of type 2 diabetes. One of the primary reasons diabetes is becoming more prevalent in today's world is that there is currently no perfect treatment. Diabetes mellitus is another name for diabetes. It is characterized as a chronic illness that interferes with the body's ability to metabolize glucose, or blood sugar. Here, we think about the Mellitus. Following a variety of study approaches, we discovered that a few factors directly cause the onset of Mellitus. A dataset has been created utilizing the information of individuals with and without diabetes. We categorize the individuals who are at risk of developing diabetes using that dataset.
We have employed algorithms in our Diabetes Prediction System Machine Learning Project to forecast and identify diabetes. The necessary data is collected from the people using our Diabetes Prediction System Machine Learning Project. The necessary database for the specific is created using the data that has been gathered. The examination also covers the signs and symptoms of diabetes in humans, such as increased thirst, intense hunger, rapid changes in vision, frequent urination, and unexplained weight loss.
It is the most straightforward method for combining every prediction made by any machine learning algorithm. It is a wrapper for several training data sets, not a true classifier. The percentage of our prediction model is represented by the accuracy score in the Diabetes Prediction System Machine Learning Project. Thus, this accuracy score is used to determine performance.
Our proposal, the Diabetes Prediction System Machine Learning Project, will be helpful to those who, among other things, wish to know their medical status. The algorithm we are currently utilizing is far superior than the one that was previously in use. It provides a more accurate diabetic illness prediction. Researchers and students working on the project may also be able to create a reliable and practical tool that doctors can use to make better decisions regarding the state of their patients.
Algorithm Used to Predict Diabetes
- 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 Diabetes Prediction 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 Diabetes 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.
