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Diabetes Prediction using Machine Learning | Python Final Year Project 2023
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Diabetes Prediction using Machine Learning | Python Final Year Project 2023.
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📌Project Title: Diabetes Prediction using Machine Learning.
🔬IEEE Base Paper Title: A New Intelligent Approach for Effective Recognition of Diabetes in the IoT E-HealthCare Environment.
💡Implementation Code: Python.
🚀Algorithm / Model Used: Bagging Ensemble Classifier.
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.
💰Cost (In Indian Rupees): Rs.3000/.
Project Abstract:
In this paper we aim to develop a prediction system using machine learning to detect and classify the presence of diabetes in e-healthcare environment using Ensemble Decision Tree Algorithms for high feature selection. A significant attention has been made to the accurate detection of diabetes which is a big challenge for the research community to develop a diagnosis system to detect diabetes in a successful way in the e-healthcare environment. The existing diagnosis systems have some drawbacks, such as high computation time, and low prediction accuracy. To handle these issues, we have proposed diagnosis system using machine learning methods, such as preprocessing of data, feature selection, and classification for the detection of diabetes disease in e- healthcare environment. Model validation and performance evaluation metrics have been used to check the validity of the proposed system.
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Video Contains:
Predicting Diabetes using Machine Learning,
Diabetes Prediction using Machine Learning
diabetes detection using machine learning,
disease prediction using machine learning,
diabetes detection using python,
diabetes prediction using python,
(or)
To buy this project in ONLINE, Contact:
📌Project Title: Diabetes Prediction using Machine Learning.
🔬IEEE Base Paper Title: A New Intelligent Approach for Effective Recognition of Diabetes in the IoT E-HealthCare Environment.
💡Implementation Code: Python.
🚀Algorithm / Model Used: Bagging Ensemble Classifier.
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.
💰Cost (In Indian Rupees): Rs.3000/.
Project Abstract:
In this paper we aim to develop a prediction system using machine learning to detect and classify the presence of diabetes in e-healthcare environment using Ensemble Decision Tree Algorithms for high feature selection. A significant attention has been made to the accurate detection of diabetes which is a big challenge for the research community to develop a diagnosis system to detect diabetes in a successful way in the e-healthcare environment. The existing diagnosis systems have some drawbacks, such as high computation time, and low prediction accuracy. To handle these issues, we have proposed diagnosis system using machine learning methods, such as preprocessing of data, feature selection, and classification for the detection of diabetes disease in e- healthcare environment. Model validation and performance evaluation metrics have been used to check the validity of the proposed system.
#python #pythonprojects #machinelearningproject #pythonprogramming #pythonprojectforbeginners #pythonprojectideas #pythonmachinelearning #machinelearning #machinelearningpython #finalyearproject #ieeeprojects #finalyearprojects #datascience #datascienceproject #artificialintelligenceproject #projects #deeplearning #deeplearningproject #computerscienceproject #deeplearningprojects #majorprojects #academicprojects #majorproject
Video Contains:
Predicting Diabetes using Machine Learning,
Diabetes Prediction using Machine Learning
diabetes detection using machine learning,
disease prediction using machine learning,
diabetes detection using python,
diabetes prediction using python,
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