Curious to try out? Follow the link below
https://colab.research.google.com/drive/1LTWnGUDbCZclGwKi4R4R015As4KiUZhY?usp=sharing
This ML project is a bit different than "Student Performance" project. This uses K-Nearest Neighbors or KNN algorithm to train and classify all the cars from data set into four main categories: unacc, acc, good, vgood. Using KNN model, I was able to classify correctly 95% of the testing data. The data set can also be found at this link: https://archive.ics.uci.edu/ml/datasets/Car+Evaluation
This project requires installed Python libraries: pandas, scikit-learn