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dc_price-prediction's Introduction

πŸ’° Seattle House Price Prediction πŸ’°

(3-1 data science term-project)

βœ” dataset

kaggle seattle house price dataset

(you can find dataset from kaggle)

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  • Data size: 21614
  • dirty data: 423
  • category: 18

βœ” dataset preprocessing

  • cleaning dirty data
  • categorical -> numerical
  • feture reduction
  • normalization(standard scaler)
  • feature selection

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βœ” Algorithm

  • KNN Algorithm (grade)
  • multiple regression (price)

βœ” Evaluation & Ensemble

  • using 'cross_val_score' function
  • using bagging classifier
  • using confusion matrix

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