E-Commerce Price Prediction Challenge
<h2>Problem Statement</h2> <p>Akshat is new to the market and is unaware of the prices of multiple products. he wants to be assured of the price before making any purchase! Help Akshat out in predicting the prices for Products and derive some conclusive evidences!</p> <h2>What's in there!?</h2> <p>In the dataset, there are products/images/dimensions/prices/ratings and much more for Feature Engineering.</p> <h2>What is the Inspiration from this!?</h2> <p>This type of business problem is typical for any new products being launched into the market and sites like Trivago/Policy Bazaar compare same product over multiple sites to reach a conclusive rate. Can you achieve the same!?</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0