The project was to design an artificial intelligence model, that would predict university course students’ dropout rate in percentages.
We delivered this project for a university based in Sweden. This university had noticed that a large number of students did not complete their studies. We wanted to design a solution that would help to monitor and finally help to reverse this trend.
The amount of time we spent on the project
Machine learning techniques
The choice of a learning algorithm is one of the most important stages of machine Learning.
We decided to employ the Random Forest algorithm in the project. It is a kind of algorithm that performs very intensive calculations. In other words it is a learning method for classification and regression that operates by constructing a multitude of decision trees based on a random subset of data.