price_prdiction_using_nlp
Science Score: 44.0%
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✓codemeta.json file
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○Scientific vocabulary similarity
Low similarity (2.7%) to scientific vocabulary
Last synced: 9 months ago
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Repository
Basic Info
- Host: GitHub
- Owner: jiehwan94
- Language: Jupyter Notebook
- Default Branch: main
- Size: 202 KB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 4 years ago
· Last pushed over 4 years ago
Metadata Files
Readme
Citation
README.md
Item Price Prediction Using NLP
Co-authored by Alex Jorenby and Jiehwan Yang
When a seller inputs AN item's information (category name, brand name, item condition, shipping, and item description), Mercari wants to suggest an ideal selling price so that the seller can make more informed decisions with setting a price for each item.
To solve this problem, we used natural language processing (NLP) techniques on the item descriptions (145 characters on average per item) and used regression algorithms to predict the item’s price.
We utilized Docker and Git to collaborate.
Owner
- Login: jiehwan94
- Kind: user
- Location: Minneapolis, MN
- Website: z.umn.edu/metricstudio
- Repositories: 1
- Profile: https://github.com/jiehwan94
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: MercariProject CSCI 5523
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Michael
family-names: Andreyeshchev
- given-names: Ryan
family-names: Bell
- given-names: Alexander
family-names: Jorenby
- given-names: Jiehwan
family-names: Yang