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

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

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.

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

Diabetes Prediction using Decision Tree Algorithm - Machine Learning Project - Pima Indians Diabetes Database - Jupyter Notebook - Python

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

Data Science in Python

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

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

Decision Tree applied to a diabetes database

Developed machine learning algorithms in R to classify diabetes in Pima Native American women.

Diabetes Prediction using Logistic Regression & Neural Networks 🏥