{
  "fetched_at": "2026-10-20T03:35:20Z",
  "source_url": "https://www.kaggle.com/competitions/competicion-interna-2023-24/data",
  "pages": [
    {
      "name": "data-description",
      "content": "The target column is the SalePrice\n\n## Files\n\n*   **train.csv** - the training set\n*   **test.csv** - the test set you have to predict and submit\n*   **sample_submission.csv** - a sample submission file in the correct format\n*   **data_description.csv** - supplemental information about the data\n",
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    {
      "name": "Description",
      "content": "Tenéis unas 79 variables que describen distintas características de unas casas de Ames (Iowa, EEUU) y SOLO UNA variable a predecir, el precio de cada casa. Para ello tendréis que visualizar, limpiar, hacer feature engineering, entrenar y modelar el dato con las técnicas que estáis aprendiendo en el módulo de ML (se pueden usar redes neuronales NO PROFUNDAS, nada de Deep Learning).",
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    {
      "name": "Evaluation",
      "content": "The error metric is the Root Mean Squared Error (RMSE)",
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      "hasIsPublished": false,
      "postTitle": "",
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      "mimeType": "",
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    },
    {
      "name": "rules",
      "content": "- El trabajo es individual\n- ¡Disfrutad de la competición!",
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      "hasIsPublished": false,
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