In this project, the objective is to predict whether the person has Diabetes or not based on various features like Number of Pregnancies, Insulin Level, Age, BMI.
Build a serverless deep learning model (end-to-end implementation) to classify real-world clothes images using TensorFlow, TensorFlow Lite, Docker, and AWS Lambda with API Gateway.
This repository contains the code to replicate the End-to-End Deep Sequence Modelling baseline for the Breathing Challenge of the Interspeech 2020 Computational Paralinguistics Challenge (ComParE).
This is a Liver Disease Machine Learning Classification Capstone Project in fulfillment of the Udacity Azure ML Nanodegree. In this project, you will learn to deploy a machine learning model from scratch. The files and documentation with experiment instructions needed for replicating the project, is provided for you.
Cardio Monitor is a web app that helps you to find out whether you are at risk of developing heart disease. the model used for prediction has an accuracy of 92%. This is the course project of subject Big Data Analytics (BCSE0158).
COVID19KIT is an Android application, it can detect coronavirus in an automated way in x-ray images using the phone's camera or even by uploading an X-ray image from the gallery.