There are many among us who prefer to spend more time with books than anything else. Here we explore a big database of books. Books of different genres, from thousands of authors. In this project, we will use the dataset to build a Machine Learning model to predict the price of books based on a given set of features.

Size of training set: 6237 records

Size of test set: 1560 records

FEATURES:

• Title: The title of the book
• Author: The author(s) of the book.
• Edition: The edition of the book eg (Paperback,– Import, 26 Apr 2018)
• Reviews: The customer reviews about the book
• Ratings: The customer ratings of the book
• Synopsis: The synopsis of the book
• Genre: The genre the book belongs to
• BookCategory: The department the book is usually available at.
• Price: The price of the book (Target variable)

You can access complete code here