Goodreads Books Analysis

Collected detailed book data from Goodreads using BeautifulSoup, including title, description, genres, ratings, and reviews, with alternative datasets from Kaggle for convenience.

Performed exploratory data analysis to identify patterns and trends in genres, authors, and book popularity to enhance understanding.

Developed and evaluated two Recurrent Neural Network classifiers, achieving 94% accuracy with Keras and 95% with PyTorch for classifying books as fiction or nonfiction.

Implemented a content-based book recommender system utilizing author names and genres for personalized suggestions.