# Egypt-Library
Books Multi-Classification
This project focuses on the multi-classification of books using various natural language processing techniques, including TF-IDF, N-Gram, Bag of Words, and a variety of classification algorithms.
## Table of Contents
- Description
- Features
## Description
This project aims to classify books into multiple categories using advanced natural language processing (NLP) techniques. The classification methods include TF-IDF, N-Gram, Bag of Words, and various classification algorithms. The goal is to provide accurate and robust categorization of books based on their content.
## Features
- Multi-classification of books into distinct categories.
- Utilization of TF-IDF, N-Gram, Bag of Words for feature extraction.
- Implementation of various classification algorithms for model training.
- Comprehensive evaluation metrics to assess model performance.