Here the basic analysis and prediction performed on the UCI student performance data. The dataset contains 33 features and 396 instance. Few of the main features are:
- Grades
- Absences
- Health
- Daily and weekly alcohol usage
- Freetime after school
- Internet usage
- Studytime
- Traveltime
- numpy
- pandas
- seaborn
- matplotlib
- sklearn
- pickle
- K-means
- PCA
- Decision Tree
- Random Forest
- Linear regression