product-categorization

There are 9 repositories under product-categorization topic.

  • Wang-Shuo/SIGIR2020Challenge

    The 1st place solution for SIGIR 2020 E-Commerce Workshop Multimodal Product Classification Challenge

    Language:Jupyter Notebook21324

  • wbsg-uni-mannheim/productCategorization

    This repository contains code and data download instructions for the workshop paper "Improving Hierarchical Product Classification using Domain-specific Language Modelling" by Alexander Brinkmann and Christian Bizer.

    Language:Python15102

  • sugatagh/E-commerce-Text-Classification

    Proper categorization of e-commerce products enhances the user experience and achieves better results with external search engines. The objective of the project is to classify a product into four given categories, based on its description available on an e-commerce platform.

    Language:Jupyter Notebook9104

  • Priyanshiguptaaa/Flipkart_Product_Categorization

    This repository illustrates the task of applying Machine Translation ( Seq2Seq Attention Network ) for Product Categorization of an E-Commerce Website data (Flipkart), classification of the description of products into the primary category of their category tree, and documenting the path to an optimal model pipeline

    Language:Jupyter Notebook4221

  • TwoPointerr/ProductRecommendation

    E-Commerce web application based on Django framework

    Language:HTML4211

  • sohansai/product-categorization

    E-commerce Product Categorization Model Using Deep Learning

    Language:Jupyter Notebook2101
  • Pardobymireia-Ecommerce-BE-Stream4project

    mboladop/Pardobymireia-Ecommerce-BE-Stream4project

    This is an ecommerce website for Pardo by Mireia Pardo. STREAM4 project of #codeinstitute´s diploma in Fullstack-Software-Development // Pardo by Mireia ecommerce

    Language:CSS0101

  • PremMevada/eshop

    E-Commerce web application based on Django framework.

    Language:HTML0120

  • wajahati/CategoryPrediction-ML-FastAPI

    This ML model is trained on BestBuy dataset and predicts 10 categories of product on the basis of title and description.

    Language:Python0001