[Day 17] Microsoft의 ML-For-Beginners - 분류 및 군집화 모델

 안녕하세요!

오늘은 Day 17입니다!


오늘 카페에서 공부하려고 헤드폰을 집에 두고 가 버렸다

대신 ML-For-Beginners 다음 부분을 공부하기로 했다

  • 4 - Classification (분류)
  • 5 - Clustering (군집화)

초보자 위한 과정이라 새로운 것을 많이 없는데 아래 재미있는 사진으로 요약해 봤다

imblearn 라이브라리로 imbalanced 데이터를 고칠 수 있다
from imblearn.over_sampling import SMOTE 사용 후, 전
oversample = SMOTE()
transformed_feature_df, transformed_label_df = oversample.fit_resample(feature_df, labels_df)


마지막으로, 오늘 어떤 음식을 먹을까란 모델로 웹사이트 만들어 봤다
재료를 선택한 후 선택한 것을 기반으로 요리 추천을 받을 것이다

그리고 군집화 모델 만들 때 좋은 시각화 코드를 받았다. 다음번에 군집화 모델 구성하면 아래 시각화 만들어야겠다

오늘 TensorFlow developer certificate 준비 시작할 수 없었는데 내일 무조건 시작하겠습니다!


오늘은 여기까지입니다!

내일 뵐게요!

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