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eda_ml_2021's Introduction

서울특별시 아파트 실거래가 예측 프로젝트

  • 빅데이터 기반 AI 융합 서비스 개발자 양성 과정 2021년 12월 머신러닝 프로젝트
  • 코드 및 데이터 확인 branch -> master 선택

개발환경 : jupyter notebook, vscode, Atom, Flask
개발 언어 : python
개발 라이브러리 : numpy, pandas, sklearn, matplotlib, seaborn, lightGBM, XGBoost, optuna
개발기간 : 6일 (2021.12.23 ~ 2021.12.31.)
개발인원 : 4명
소개 : 국토교통부 실거래가 공개 시스템의 ‘서울 아파트 매매 실거래가 데이터’를 이용해 데이터 분석 및 전처리, EDA를 통해 데이터의 도메인을 이해하고 머신러닝 기법을 적용하여 실거래 예측하는 프로젝트

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