emanuelcovaci

aistatistics-frontend

2nd-Degree-Equation-Calculator

This is a calculator for 2nd Degree Equation

30-Days-of-Python

bookvenu

Demografie

Demografia Romaniei

twittop

An online application that uses artificial intelligence to detect if a social media account is fake.

PackCar

WebsiteISJ

Website of the Timis Education Board

firesquad-frontend

project-spartan

Project Spartan -- hire someone to carry out tasks for you.

emanuelcovaci/bookvenu

emanuelcovaci/twittop

An online application that uses artificial intelligence to detect if a social media account is fake.

emanuelcovaci/2nd-Degree-Equation-Calculator

This is a calculator for 2nd Degree Equation

emanuelcovaci/30-Days-of-Python

emanuelcovaci/Demografie

Demografia Romaniei

emanuelcovaci/AR-Ruler

emanuelcovaci/ARDice

Dice Roll AR

emanuelcovaci/BusyHub

Best To Do List Apps

emanuelcovaci/clutterspace

The next big game in the world

emanuelcovaci/dicom-viewer

Digital Imaging and Communications in Medicine (DICOM) is the standard for the communication and management of medical imaging information and related data.[1] DICOM is most commonly used for storing and transmitting medical images enabling the integration of medical imaging devices such as scanners, servers, workstations, printers, network hardware, and picture archiving and communication systems (PACS) from multiple manufacturers. It has been widely adopted by hospitals and is making inroads into smaller applications such as dentists' and doctors' offices.

emanuelcovaci/e-learning

emanuelcovaci/EHB

emanuelcovaci/emanuelcovaci

emanuelcovaci/FlowerSnapp

emanuelcovaci/GoogleHashCode

#GoogleHashCode2017

emanuelcovaci/Heart-Failure-Prediction

Cardiovascular diseases (CVDs) are the number 1 cause of death globally, taking an estimated 17.9 million lives each year, which accounts for 31% of all deaths worlwide. Heart failure is a common event caused by CVDs and this dataset contains 12 features that can be used to predict mortality by heart failure. Most cardiovascular diseases can be prevented by addressing behavioural risk factors such as tobacco use, unhealthy diet and obesity, physical inactivity and harmful use of alcohol using population-wide strategies. People with cardiovascular disease or who are at high cardiovascular risk (due to the presence of one or more risk factors such as hypertension, diabetes, hyperlipidaemia or already established disease) need early detection and management wherein a machine learning model can be of great help.

emanuelcovaci/Heart_Disease

https://archive.ics.uci.edu/ml/datasets/heart+Disease

emanuelcovaci/I-Am-Rich

emanuelcovaci/ng-chat

💬 A simple facebook/linkedin lookalike chat module for Angular applications.

emanuelcovaci/Real-time-chat-IOS

emanuelcovaci/recipe-book

emanuelcovaci/TLT

emanuelcovaci/Tour-of-Heroes

emanuelcovaci/transport-network

emanuelcovaci/Twittermenti

Sentiment Analysis on Customer Tweets