{
  "id": "adrian1acoran/prote-nas-humanas",
  "id_no": 1919172,
  "title": "Prote\u00ednas humanas",
  "code_file": "prote-nas-humanas.ipynb",
  "language": "python",
  "kernel_type": "notebook",
  "is_private": false,
  "enable_gpu": true,
  "enable_tpu": false,
  "enable_internet": false,
  "keywords": [],
  "dataset_sources": [
    "github/github-repos",
    "bigquery/patents",
    "adrian1acoran/pi-31415",
    "pytorch/vgg13bn"
  ],
  "kernel_sources": [
    "mrisdal/quick-dirty-randomforest",
    "ldfreeman3/a-data-science-framework-to-achieve-99-accuracy",
    "kanncaa1/data-sciencetutorial-for-beginners",
    "sudalairajkumar/simple-exploration-baseline-ga-customer-revenue"
  ],
  "competition_sources": [
    "house-prices-advanced-regression-techniques",
    "human-protein-atlas-image-classification",
    "titanic",
    "two-sigma-financial-news"
  ],
  "model_sources": [],
  "docker_image": "gcr.io/kaggle-private-byod/rstats@sha256:b5593d14878d872ba153e463c39e01750c916862d9bf5a572ddf5234ece009b0",
  "machine_shape": "NvidiaTeslaT4"
}