중고차 가격 예측 AI 해커톤

코드 공유 감사드립니다^^ 많은 도움이 될 것 같습니다.
공부 하는데 한가지 질문이 있어 문의 드립니다.
원핫 인코딩을 하는데 타이틀 값을 열로 늘린 이유가 무엇인지 궁금합니다.!!

pycaret이랑 원핫 인코더의 handle_unknown 기능 처음 알았네요! 좋은정보 감사합니다

pycaret을 코랩에서 활용해 보고자 하는데 위와 같이 설치하면 에러가 발생하네요..
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
xarray-einstats 0.2.2 requires numpy>=1.21, but you have numpy 1.19.5 which is incompatible.
tensorflow 2.8.2+zzzcolab20220527125636 requires numpy>=1.20, but you have numpy 1.19.5 which is incompatible.
google-colab 1.0.0 requires requests~=2.23.0, but you have requests 2.27.1 which is incompatible.
datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.
albumentations 0.1.12 requires imgaug<0.2.7,>=0.2.5, but you have imgaug 0.2.9 which is incompatible.

해결할 방법이 있을까요 ?

몇 수 가르침을 받았습니다. 이런 것도 있는 줄은 몰랐네요.
앙상블처럼 여러 모델을 조합하는 것이 있다니 관심있게 봐야 할 것 같습니다.
좋은 정보 감사합니다.

이거 engine_fix부분에서 마지막 조건이 맨 위로 올라가야할거 같아요 마지막 조건 때문에 전부 2로 들어가는거 같아요

def engine_fix(df):
    df.loc[~df['engine'].isin(["8-cylinder(V8)" , "4-cylinder(H4)" , "6-cylinder(I6)" , "6-cylinder(V6)" , "4-cylinder(I4)" , "5-cylinder(I5)" , "3-cylinder(I3)" , "2-cylinder(I2)"]), 'engine'] = 2
    df.loc[(df['engine'] == "8-cylinder(V8)"), 'engine'] = 4
    df.loc[(df['engine'] == "4-cylinder(H4)"), 'engine'] = 3
    df.loc[(df['engine'].isin(["6-cylinder(I6)" , "6-cylinder(V6)" , "4-cylinder(I4)"])), 'engine'] = 2
    df.loc[(df['engine'].isin(["5-cylinder(I5)", "3-cylinder(I3)", "2-cylinder(I2)"])), 'engine'] = 1

이런식으로 수정해서 사용했습니다