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  "fetched_at": "2026-10-20T05:35:31Z",
  "source_url": "https://www.kaggle.com/competitions/aiffel-ds-2-house-prices/data",
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      "content": "## File descriptions\n- train.csv - the training set\n- test.csv - the test set\n- sample_submission.csv - a benchmark submission from a linear regression on year and month of sale, lot square footage, and number of bedrooms\n\n## Data fields\nHere's a brief version of what you'll find in the data description file.\n\nSalePrice - the property's sale price in dollars. This is the target variable that you're trying to predict.\nMSSubClass: The building class\nMSZoning: The general zoning classification\nLotFrontage: Linear feet of street connected to property\nLotArea: Lot size in square feet\nStreet: Type of road access\nAlley: Type of alley access\nLotShape: General shape of property\nLandContour: Flatness of the property\nUtilities: Type of utilities available\nLotConfig: Lot configuration\nLandSlope: Slope of property\nNeighborhood: Physical locations within Ames city limits\nCondition1: Proximity to main road or railroad\nCondition2: Proximity to main road or railroad (if a second is present)\nBldgType: Type of dwelling\nHouseStyle: Style of dwelling\nOverallQual: Overall material and finish quality\nOverallCond: Overall condition rating\nYearBuilt: Original construction date\nYearRemodAdd: Remodel date\nRoofStyle: Type of roof\nRoofMatl: Roof material\nExterior1st: Exterior covering on house\nExterior2nd: Exterior covering on house (if more than one material)\nMasVnrType: Masonry veneer type\nMasVnrArea: Masonry veneer area in square feet\nExterQual: Exterior material quality\nExterCond: Present condition of the material on the exterior\nFoundation: Type of foundation\nBsmtQual: Height of the basement\nBsmtCond: General condition of the basement\nBsmtExposure: Walkout or garden level basement walls\nBsmtFinType1: Quality of basement finished area\nBsmtFinSF1: Type 1 finished square feet\nBsmtFinType2: Quality of second finished area (if present)\nBsmtFinSF2: Type 2 finished square feet\nBsmtUnfSF: Unfinished square feet of basement area\nTotalBsmtSF: Total square feet of basement area\nHeating: Type of heating\nHeatingQC: Heating quality and condition\nCentralAir: Central air conditioning\nElectrical: Electrical system\n1stFlrSF: First Floor square feet\n2ndFlrSF: Second floor square feet\nLowQualFinSF: Low quality finished square feet (all floors)\nGrLivArea: Above grade (ground) living area square feet\nBsmtFullBath: Basement full bathrooms\nBsmtHalfBath: Basement half bathrooms\nFullBath: Full bathrooms above grade\nHalfBath: Half baths above grade\nBedroom: Number of bedrooms above basement level\nKitchen: Number of kitchens\nKitchenQual: Kitchen quality\nTotRmsAbvGrd: Total rooms above grade (does not include bathrooms)\nFunctional: Home functionality rating\nFireplaces: Number of fireplaces\nFireplaceQu: Fireplace quality\nGarageType: Garage location\nGarageYrBlt: Year garage was built\nGarageFinish: Interior finish of the garage\nGarageCars: Size of garage in car capacity\nGarageArea: Size of garage in square feet\nGarageQual: Garage quality\nGarageCond: Garage condition\nPavedDrive: Paved driveway\nWoodDeckSF: Wood deck area in square feet\nOpenPorchSF: Open porch area in square feet\nEnclosedPorch: Enclosed porch area in square feet\n3SsnPorch: Three season porch area in square feet\nScreenPorch: Screen porch area in square feet\nPoolArea: Pool area in square feet\nPoolQC: Pool quality\nFence: Fence quality\nMiscFeature: Miscellaneous feature not covered in other categories\nMiscVal: $Value of miscellaneous feature\nMoSold: Month Sold\nYrSold: Year Sold\nSaleType: Type of sale\nSaleCondition: Condition of sale",
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      "content": "정보 공유 규칙 (Information Sharing Rules)\n공개적으로 공유할 정보: Competition에 참가하는 모든 사람이 볼 수 있도록 Code, Discussion 채널에 공개적으로 공유할 것.\n비공개 정보: Competition이 끝날 때까지 본인의 팀 내에서만 공유할 것.\nKaggle의 모토인 \"함께 공부하고 공유하여 나누자\"를 실천하되, 특정 팀에게만 정보를 공유하는 것은 금지합니다.",
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      "name": "abstract",
      "content": "안녕하세요😆 머신러닝 활용 다양한 데이터 다루기!     \n두번째 메인 퀘스트인 집 값 예측에 오신 여러분 환영합니다!\n\n------\n## Mission\n\n### [회귀] 주택 가격 예측\n- 예측할 값(y): SalePrice\n- 평가지표: RMSE\n- 제출 형식\n1. Code탭에 New NoteBook으로 새 노트북을 만들어 프로젝트 수행 후 코드 쉐어로 제출\n2. 예측한 결과물 파일(`.csv`) 메인 우측 상단에 Submit Prediction 버튼을 눌러 제출\n\n\n~~~\nId,SalePrice\n1461,169000.1\n1462,187724.1233\n1463,175221\netc.\n~~~\n\n------\n### 평가지표\n    \n- 데이터 이해 및 탐색\n    - 각 피처에 대한 이해가 명확한가?\n    - 데이터의 분포와 특성을 파악하기 위한 적절한 시각화가 이루어졌는가?    \n    - 데이터에서 유의미한 인사이트를 도출하였는가?(심화)\n    \n- 데이터 전처리 과정\n    - 결측치 처리, 이상치 처리 등 데이터 정제가 적절하게 수행되었는가?\n    - 데이터 스케일링 및 인코딩 등이 적절히 수행되었는가?\n    - 피처 엔지니어링(파생 변수)이 적절하고 창의적으로 이루어졌는가?(심화)\n    \n- 모델 선택 및 비교\n    - 최소 3개 이상의 모델을 비교하고 있는가?\n    - 모델 선택 이유와 각 모델의 특성을 잘 설명하였는가?\n    - 앙상블(모델 3개) 방법을 사용하여, 성능을 비교하였는가? (심화)\n    \n- 성능 평가\n    - 검정 데이터에 대한 평가 지표가 명확하게 제시되었는가?\n    - 평가 지표가 타당하며, 모델 성능을 잘 반영하는가?\n    - 하이퍼파라미터 튜닝(실험)을 진행하고, 결과를 기록했는가?(심화)\n\n------\n### 타임라인\n- 2024년 7월 2일 오전 10시부터 오후 6시까지 \n- 위 마감시간 이후에도 제출할 수 있으나 마감시간까지 제출된 리더보드까지만 순위에서 반영\n\n------\n### 상금\n- 대상: 리더보드 1~3위\n- 제공: 작지만 시원한 여름 선물",
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