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pytorch_linear_regression_multiple_variables's Introduction

Pytorch_multiple_linear_regression

Korean

  • 아나콘다,주피터 노트북을 사용하여 다형 선형 회귀를 하였습니다.
  • insurance.csv 파일은 원본 데이터 파일입니다.
  • preprocessing_insurance.csv 파일은 전처리 이후 데이터 파일입니다.
  • 보험 요금에 필요한 속성만 뽑아냈고, smoker 속성의 yes = 1 로 no = 0 으로 변환하여 저장했습니다.
  • preprocessing_insurance_test.csv 파일은 학습완료된 모델을 테스트하기위한 데이터 파일입니다.
  • Untitled5.ipynb 파일을 누르시면 코드를 보실 수 있습니다.

English

  • I used an anaconda, Jupiter laptop to do a multi-type linear regression
  • The instance.csv file is the original data file.
  • The preprocessing_insurance.csv file is a post-processing data file.
  • Only the attributes required for the charges were extracted and saved by converting them to yes = 1 for the smoker property.
  • The preprocessing_insurance_test.csv file is a data file for testing a completed model.
  • Click on the Unitled5.ipync file to view the code.

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