Developed a machine learning model to predict Student performance in exam using a dataset of student performance. Preprocessed data performed feature engineering and applied gridsearchcv to find the best model as Linear Regression with the accuracy of 87%. Created a Flask app for users to predict the student performance using frontend. Technologies Used: Python scikit-learn pandas Matplotlib Flask.
Technologies used in the project:
- Python
- Pandas
- Numpy
- Seaborn
- Maplotlib
- Scikit-Learn
- Flask