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Predict The Price Of Books Logo

PredictThePrice
OfBooks

Expired
Start: September 27, 2019Ends: November 3, 2025
Participants
5,887
Time Left
Ended
Subs/day
10
Challenge Overview

The so-called paradoxes of an author, to which a reader takes exception, often exist not in the author's book at all, but rather in the reader's head. - Friedrich Nietzsche.


Books are open doors to the unimagined worlds which is unique to every person. It is more than just a hobby for many. 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 challenge, participants are required to 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 of the book belongs to Book
Category: The department the book is usually available at. 
Price: The price of the book (Target variable)

Problem Statement

This challenge focuses on building advanced machine learning models to solve real-world problems. Participants will work with carefully curated datasets and compete to achieve the best performance metrics.

Target Column: Price
Metric: custom_root_mean_squared_1
Level: Beginner
Submissions: 10/day
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