Retail companies use a variety of methods to assure customers that their products are the cheapest. Among them is product matching, which allows a company to offer products at rates that are competitive to the same product sold by another retailer. Shopee is the leading e-commerce platform in Southeast Asia and Taiwan. Customers appreciate its easy, secure, and fast online shopping experience tailored to their region. The company also provides strong payment and logistical support along with a 'Lowest Price Guaranteed' feature on thousands of Shopee's listed products. In this competition, we had been requested to build a model that predicts which items are the same products for Shopee company.
- Kaggle platform
- Python
- Scikit-learn
- Rapids
- Tensorflow
- Bert
- Margin Arc face
- Efficienet
- TF-idf
To get a local copy up and running follow these simple example steps.
- Open terminal
- Clone this project by the command:
$ git clone [email protected]:Taher-web-dev/Shopee---Price-Match-Guarantee.git
- Then go to the main folder using the next command:
$ cd Shopee---Price-Match-Guarantee
- IDE to edit and run the code (We use Jupyter Notebook 🔥).
- Git to versionning your work.
- Data scientist practioner
- For anyone interested by product matching or reatail.
👤 Taher Haggui
- GitHub: @TaherHaggui
- LinkedIn: @TaherHaggui
Contributions, issues, and feature requests are welcome!
Give a ⭐️ if you like this project!
- kaggle plarform 💘 (https://www.kaggle.com/)
- My family's support 🙌
This project is Shopee licensed.