{
  "fetched_at": "2026-10-20T09:49:23Z",
  "source_url": "https://www.kaggle.com/competitions/delhihousepriceprediction/data",
  "pages": [
    {
      "name": "data-description",
      "content": "The data captures house prices for Indore and other important attributes. The aim is to predict the median house resale price for the test data.\n\nParticipants should be able to answer questions like these after reading the data description: What files do I need? What should I expect the data format to be? What am I predicting? What acronyms will I encounter?\n\n\nFile descriptions\n\nIndoreHP_train.csv - the training set\n\nIndoreHP_test.csv - the test set\n\nIndoreHP_Sample.csv - a sample submission file in the correct format; but the predicted valued are set at 18 for all houses...i.e, incorrect.. :)\n\nData fields:\n\nCRIM: per capita crime rate\n\nZN: the proportion of residential land zoned for lots larger than 25,000 sq.ft.\n\nINDUS: the proportion of non-retail business acres per town.\n\nRIVER_FLG: River Dummy Var (this is equal to 1 if tract bounds river; 0 otherwise)\n\nnitric oxides concentration: the nitric oxides concentration (parts per 10 million)\n\nrooms/dwelling: the average number of rooms per dwelling\n\nAGE: the proportion of owner-occupied units built prior to 1940\n\nDIS: the weighted distances to five employment centers of the town\n\nRAD: the index of accessibility to radial highways\n\nTAX: the full-value property-tax rate per INR 10 millions (1 crores)\n\nPTRATIO: the pupil-teacher ratio by area\n\nB: calculated as 1000(Bk — 0.63)², where Bk is the proportion of people living is slums in the area\n\nLSTAT: This is the percentage lower status and income of the population\n\nMEDV: This is the median value of owner-occupied homes in INR millions (10 lakhs)",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "**This is a RESTRICTED competition open only to participants of IPBA course by IIM Indore and Jigsaw Academy. We urge others not to enter if the link is shared inadvertently. Thank you!**\n\n\nNote that this business problem is created only for practice purposes and the data is synthetic\n\n\nAbout\nA real-estate startup has hired you- participants of the IPBA- to work on a pricing model for used houses.\n\nObjective\nTo predict the Housing prices in Indore as a function of the different\nattributes of houses and locality\n\nDevelop a pricing model that will make an estimate of the Price of the house. This will help the company to reduce its cost and also streamline the process of selling used houses.\n\nParticipants should be able to :\n\n- Clean the data\n- Perform EDA and Visualizations\n- Perform Feature Engineering\n- Build a Model (Linear Regression)\n- Evaluate the Model\n- Provide business insights from the model\n\nNote - Please refer to the data dictionary (in the data section) to get a better understanding of the variables",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "The evaluation is based on RMSE\n\n![RMSE](https://www.includehelp.com/ml-ai/Images/rmse-1.jpg)\n\nwhere \"Predicted\" is the predicted value, \"Actual\" is the original value, and N is the number of rows in the test data.\n\nYou may read further about RSME here: http://statweb.stanford.edu/~susan/courses/s60/split/node60.html\n\nSource: Stanford University\n\nSubmission File\nFor each row in the test set, you must predict the value of the target as described on the data tab, each on a separate row in the submission file. The file should contain a header and have the following format:\n\nID, MEDV\n400,11.0\n401,9.0\n402,10.5\n403,22.0\netc.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": " You may wish to include rules like:\n\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}