Machine Learning Book Recommendation Engine settings

The book recommendation engine uses a K-Nearest Neighbors machine learning model (developed using Python's SKLearn) to find book recommendations based on the user's input. The data used to create the model came from the publicly available Book-Crossings dataset (established in 2004). Since the dataset is older, the book list does not contain more recent works, but contains roughly 650 books published before the year 2004. To see the machine learning algorithm behind the engine, check out the Google Colab file.