데이크루 4기

안녕하세요 저희는 ‘먼스크루’팀 입니다. 😃
이번 데이크루 4기 주제로 저희팀은 ‘아파트 실거래가 예측’ 🌇 프로젝트로 문제 기반 학습(PBL)을 진행하고 있습니다.

다음 목차와 링크에서 저희 글의 커리큘럼을 확인하실 수 있습니다.
✔️ Stage1 : 데이터 불러오기 https://dacon.io/competitions/official/236047/codeshare/7456
✔️ Stage2 : 문제 및 모델링의 이해 - 아파트 실거래가 예측 https://dacon.io/competitions/official/236047/codeshare/7707
✔️ Stage3 : 기초 EDA 및 분석 - WHAT 무엇이 아파트 가격에 영향을 줄까? https://dacon.io/competitions/official/236047/codeshare/7708
✔️ Stage4 : EDA 기반 시각화 및 가공 - WHERE 어디서 아파트 가격이 잘 나타날까? https://dacon.io/competitions/official/236047/codeshare/7709
✔️ Stage5 : 모델링의 활용 - HOW 어떻게 아파트 가격을 예측할까? https://dacon.io/competitions/official/236047/codeshare/7710
✔️ Stage6 : 인사이트 도출 - 사람들이 선호하는 아파트는? https://dacon.io/competitions/official/236047/codeshare/7711

‘아파트 실거래가 예측’ 🌇 프로젝트로 문제 기반 학습(PBL)의 두번째 글은  "Stage 2. 문제 및 모델링의 이해 - 아파트 실거래가를 예측하기 위해 필요한 것"입니다!

* 본 포스팅은 데이콘 서포터즈 “데이크루" 4기 활동의 일환입니다.