There are many factors that influence the grades/scores of students. One of the factors is study hours. In this mini analysis project, there are 3 models that will learn and predict the relation between study hours of students and their scores in an exam/test. This project will result the best ML model to solve the problem.
Goals :
- Range of best number of study hours to get a high score
- Minimum and maximum number of study hours that are good for learning
- Range of study hours that are less suitable for getting good scores or grades
- Finding the best Machine Learning model from Scikit-learn library to predict and answer the three goals above
With this analysis, the students are able to find the perfect range of study hours for getting good scores.
Insights :
- Study Hours and Scores are strongly related
- Studying for 12 hours and above per day can increase the chances of getting high scores
- Approximately 4 hours of study time and 2 hours or less is the ideal time to study
Advices :
- Some students should not study for 3 hours, 6 hours, or 10 hours per day
- Because the dataset is still very small, which only amounts to 2 columns and 25 rows, the results of the conclusions obtained may not be valid or not representative of the existing sample
- The size of the dataset should be further expanded
For a more interactive explanation of the project, you can read and/or download this presentation on the repository files menu or here.
If you have any suggestions or feedback, please don't hesitate to contact to me in direct message on LinkedIn or Email