Mercari Price Suggestion Challenge

Mercari, Japan’s biggest community-powered shopping app, wants to offer pricing suggestions to sellers on its website, but this is tough because their sellers are enabled to put just about anything, or any bundle of things, on Mercari's marketplace. This project takes on the challenge of product price prediction and provides a solution using a random forest regression model.

Build status

Code style

Data Science Pipeline

The contributing model consists of the following process:

• data preprocessing with NumPy and Pandas
• feature engineering with text data
• Exploratory Data Analysis (EDA) with Matplotlib, Seaborn, and wordcloud
• Random Forest model by scikit-learn

Code files:

• MercariPriceSuggestionChallenge_DataPreprocessing.ipynb
• MercariPriceSuggestionChallenge_EDA.ipynb
• MercariPriceSuggestionChallenge_PredictiveModeling.ipynb

Python Packages Used

• Matplotlib
• NumPy
• Pandas
• SciPy
• Seaborn
• joblib
• pydot
• scikit-learn
• time
• wordcloud

Credits

This is the final project of the Big Data Processing and Technologies course in 2018 Spring semester.

License

MIT License

Copyright (c) [2020] [Yung-Lin Chang]

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.