데이크루 4기

안녕하세요, 데이크루 4기 '마라탕'팀입니다.
저희는 Iris 꽃받침 / 꽃잎 너비 예측 프로젝트의 데이콘 문제기반학습(Problem Based Learning, PBL)을 만들고 있습니다.
다섯번째 포스팅의 주제는 데이터 가공 및 EDA 기반 insight 시각화의 이해와 활용 – 모델링과 그리드서치 소개입니다.
아래 링크를 통해 Iris 꽃받침 / 꽃잎 너비 예측 프로젝트의 전 스테이지를 보실 수 있습니다.
Stage1 : 문제정의와 데이터 불러오기 [ https://dacon.io/competitions/official/236047/codeshare/7454 ]
Stage2 : 데이터 확인 [ https://dacon.io/competitions/official/236047/codeshare/7615 ]
Stage3 : 변수파악과 모델소개 [ https://dacon.io/competitions/official/236047/codeshare/7616 ]
Stage4 : 데이터 전처리와 탐색적 자료분석 [ https://dacon.io/competitions/official/236047/codeshare/7617 ]
Stage5 : 모델링과 하이퍼 파라미터 튜닝 [ https://dacon.io/competitions/official/236047/codeshare/7618 ]
Stage6 : 모델 성능향상과 인사이트 도출 [ https://dacon.io/competitions/official/236047/codeshare/7660 ]

본 포스팅은 데이콘 서포터즈 "데이크루" 4기 활동의 일환입니다