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Towards Predicting Student's Dropout in University Courses Using Different Machine Learning Techniques

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Students-Dropout-Prediction

Towards Predicting Student's Dropout in University Courses Using Different Machine Learning Techniques

Algorithms

There are six python notebooks (files with extension .ipynb) containing all tested algorithms

Data

There are two CSV files contaning data used by the algorithms
File DBS.csv contains 3 years worth of data from online course (years 2016-2019)
File DBS_2020.csv contains the most recent data from last year of the online course (year 2020)

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Towards Predicting Student's Dropout in University Courses Using Different Machine Learning Techniques

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  • Jupyter Notebook 100.0%