Local Project

Student success in the education system in Turkey can be influenced by various factors. This project aims to develop a model using data science and machine learning techniques to predict student success.

Within the scope of the project, demographic information, socio-economic status, learning environments, school performance, and other relevant data of students will be used. These data will be analyzed to identify factors that affect student success and to create a machine learning model that predicts student performance.

During the development of the model, various machine learning algorithms can be utilized, such as linear regression, decision trees, support vector machines, or artificial neural networks. Additionally, based on data-driven insights, recommendations and strategies can be provided to improve student success.