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hm

hm kaggle competition


.
├── docs
│   ├── articles.csv
│   ├── customers.csv
│   ├── data.csv
│   ├── data.zip
│   ├── head_transactions_train.csv
│   ├── sample_submission.csv
│   └── transactions_train.csv
├── LICENSE
├── README.md
├── batch.py
├── lstm.py
├── main.py
├── preprocess.py
└── requirements.txt

NOTES:

  1. installed git
    • sudo apt install git
  2. downloaded data from kaggle

TODO:

  • add requirements.txt

  • kmeans

    • clients
  • 4 layer mlp

    • predict 1 product
    • predict 12 products
    • custom output layer / loss function
      • randomly picks product based on distribution from softmax weights
  • cnn

    • images

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