Özlem Körpe's repositories
Machine-Learning-with-MATLAB
Machine Learning and Data Mining cheatsheet and example operations prepared in MATLAB
Bug-Report-Template
Bug reporting template for software testers.
ChatOn-Android-Messaging-App
ChatOn is a messaging application developed for android platforms.
Heart-Failure-Prediction
Cardiovascular diseases (CVDs) are the number 1 cause of death globally, taking an estimated17.9 million lives each year, which accounts for 31. 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, hyper lipidaemia or al-ready established disease) need early detection and management where in a machine learning model can be of great help
Codingbat-Solutions
Contains the solutions of Codingbat problems in different programming languages like Python, Java, R etc.
Data-Mining-With-Knime
Basic knime examples for beginners. It includes many different operations like filtering, predicting, string manipulation, math operations etc.
DM-Clustering-Techniques-on-Transportation-Dataset
Data mining clustering techniques; k-means, dbscan and hierarchical clustering are applied on Antalya bus transportation dataset by using Knime environment.
Magic-8-Ball-App
Classic Magic 🎱 Ball application. Ask your question and shake your phone to get the answer from the universe (or from ios RNG 😉 )!
Malware-Analysis-with-Machine-Learning
Project aims to predict if a software is malware or not by using system call sequences in different window sizes.
Strong-Password-Generator
Strong Password Generator, a powerful and user-friendly iOS app designed to help you create highly secure and random passwords with ease. With customizable options such as password length and inclusion of numbers, uppercase letters, and special characters, you can generate unique and robust passwords tailored to your specific needs.
Titanic-Machine-Learning-from-Disaster-MATLAB
The goal of this project is predicting the survival of passengers based on a set of data. Necessary data is retrieved from Kaggle competition "Titanic: Machine Learning from Disaster".