pima-diabetes-data

Personal project using Pima Indians Diabetes to analyse it and make predictions using Machine Learning techniques.

This project implements a complete machine learning pipeline to predict diabetes risk using the Pima Indians dataset. It covers data preprocessing, model building, validation, optimization, and deployment via a FastAPI-based API.

Machine Learning Practice - Diabetes Detection using Python Jupyter Notebook, PIMA Diabetes data etc

Crystal SHAINet example using Pima Indians dataset for Diabetes

An implementation of Stochastic Gradient Hamiltonian Monte Carlo by Gilad Amitai and Beau Coker

My implementation for Logistic Regression and applying it to different data sets.

Deep Learning Projects

Data Analysis and Classification of Pima Indian Women's Diabetes in 1988

Developing Extreme Gradient Boost model with XGBoost in Python

Using diagnostic measures to predict diabetes in females +21 years old of Pima Native American heritage.

Building Artificial Neural Network Using Tensorflow & Keras

Pima Diabetes Outcome

Implementation of a simple ML classification algorithm K-Nearest Neighbors from scratch. It is used to predict Diabetes based on PIMA Indian Dataset

Data Science in Python

In this project, different machine learning approaches are used to detect the diabetes in patients using the PIMA Indians diabetes dataset.

Build a machine learning model to accurately predict whether or not the patients in the dataset have diabetes or not?

Diabetes Prediction using Logistic Regression & Neural Networks 🏥

To explore the given dataset for all basic statistics such as the distributions, correlations, outliers, missing values, etc.

Predicting whether a person is diabetic or not based on given data using Neural Networks