A ready-to-use framework of the state-of-the-art models for structured (tabular) data learning with PyTorch. Applications include recommendation, CRT prediction, healthcare analytics, anomaly detection, and etc.

Diabetes prediction with several machine learning algorithms to choose which is best.

Prediction of diabetes using logistic regression

Deployed medical apps on streamlit

Diabetes Prediction with Logistic Regression

Exploring the relationship between PPG signals and Type 2 Diabetes.

A powerful Multi Page web application which can diagnose and predict diabetic symptoms and calculates pre risk diabetic features warning the user with an Interactive user friendly UI

Prediction of Diabetes using Decision Tree.

User-friendly pyqt5 application helps in diabetes prediction

diabetes analysis

Diabetes Prediction System fetches the output of blood sample does he/she having Diabetes or not with some inputs through user

This one is advance version of the earlier one i.e Multiple disease prediction as we can run it just by cloning vs GitHub desktop and run it in vscode

The diabetes-cbr program is a simulation of a case-based reasoning system for diabetes management.

this is combination of 3 different disease prediction system check readme for details

Diabetes Prediction is a linear regression model practice project. It uses machine learning(linear regression) model,which is trained to predict the diabetes level. Given set of inputs are based on the dataset.

A diabetes predictor website that uses the UCI Pima Indians Diabetes Database and some machine learning.

Predicting diabetes and complications from nailfold capillary images using deep learning

Neural network which is trained on paitient data to classify whether someone is diabetic. Inspired by the book, Neural Network Projects with Python by James Loy.

#DiabetesPrediction, #MachineLearning, #PrincipalComponentAnalysis, #LinearRegression

Project of Data Mining course in Amirkabir University Of Technology.