This is the repository for the final project of CS-156 - Introduction to Machine Learning offered at Hofstra University.
The goal of the project was to get fluent in working with standard tools and techniques of exploratory data analysis by working with a dataset. The dataset used is the CommonLit Challenge on Kaggle.
Within the project we were tasked to create two models and use them to evaluate wording and content of students' summaries
Model 1 uses cleaned features and linear regression for training
Model 2 uses cleaned features and am algorithm other than logistic regression.