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samplelab's Introduction

samplelab

csv 파일을 업로드하고 결측치 제거 및 데이터확인을 거쳐 간단한 회귀/분류 모델을 통해 학습시키는 과정을 담은 Django 기반 openML 프로젝트

  • Back : Django(Python)
  • Front : HTML, CSS, Javascript(Bootstrap 활용)
  • 학습 모델 : LightGBM Regressor, LightGBM Classifier
  • 전처리 모델 : Scikit-Learn MinMaxScaler, Scikit-Learn StandardScaler
  • 시각화 라이브러리 : Plotly(Boxplot, Heatmap), ChartJS(Histogram, Barchart)
  • 기타 활용 라이브러리 : Pandas, Numpy

  1. 파일 업로드 samplelab1

  2. 데이터 확인 및 결측치 제거 방법 선택 samplelab2

  3. 데이터 분포 정보 확인 samplelab3

  4. 데이터 컬럼 간 상관관계 및 Range 확인 samplelab4

  5. 학습에 활용할 X데이터와 y데이터 컬럼 및 학습데이터셋의 크기 선택 samplelab5

  6. 모델과 스케일러 종류 선택 samplelab6

  7. 학습결과 확인(모델 정확도 및 피쳐중요도) samplelab7

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