Overview
Who this competition fits
Beginners who want a low-friction first competition on a learning platform with DataLab notebooks.
Read the original official blurb
As reading trends keep changing, an ambitious online bookstore has seen a boost in popularity following an intense marketing campaign. Excited to keep the momentum going, the bookstore has kicked off a challenge among their data scientists. They've equipped the team with a comprehensive dataset featuring book prices, reviews, author details, and categories. The team is all set to tackle this challenge, aiming to build a model that accurately predicts book popularity, which will help the bookstore manage their stock better and tweak their marketing plans to suit what their readers love the most. Help them get the best predictions! Use your skills to help the online store find the most popular books. Scoring notes: This competition is for helping to understand how competitions work. This competition will not be judged.
Preparation
From registration to a first submission
- 01
Python or R basics
- 02
DataCamp / DataLab workflow
- 03
pandas or tidyverse
Before you commit: Even learning competitions can stall if you have never turned analysis into a clean submission notebook.
Source
How this page was assembled
Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.
- Official competition page
- DataCamp
- Last checked
- Jun 17, 2024