• Stars
    star
    1
  • Language
    Jupyter Notebook
  • License
    Apache License 2.0
  • Created about 2 years ago
  • Updated about 2 years ago

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Repository Details

In this competition, H&M Group invited us to develop product recommendations based on data from previous transactions, as well as from customer and product meta data. The available meta data spans from simple data, such as garment type and customer age, to text data from product descriptions, to image data from garment images.