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#

product-classification

Here are 19 public repositories matching this topic...

Classify e-commerce product descriptions into categories (Household, Books, Electronics, Clothing & Accessories) using SVM and Random Forest models with TF-IDF and Word2Vec representations. Includes data preprocessing, hyperparameter tuning, and model evaluation for performance comparison.

  • Updated Nov 15, 2024
  • Jupyter Notebook

A clean, modular, and ML-powered pipeline for grouping and classifying electronic product listings (Laptops & TVs) from noisy vendor specifications using SBERT embeddings, threshold tuning, and confidence scoring. Includes advanced insights, bundle detection, and optional bonus challenges.

  • Updated Sep 16, 2025
  • Python

[FRANCAIS]Etude comparative de 10 methodes d'extraction de features pour e-commerce de luxe | [ENGLISH] Comparative study of 10 feature extraction methods (vision + NLP) for luxury e-commerce classification

  • Updated Jan 27, 2026
  • Jupyter Notebook

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