Analyzing Schools' grades & profile

• Data analysis on a data comprised of more than 40,000 records of different schools.

• Creating a machine learning model to predict the level of schools.

• Using Jupyter Notebook, Python, Numpy, Pandas, MatplotLib, Seaborn & Random Forest Classifier.