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Watermelon_ML_Models

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PARK SINGYU edited this page Jul 13, 2025 · 1 revision

Welcome to the Watermelon_ML_Models wiki!

Wiki pages Pages 13

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0. 프로젝트 전체 파이프라인 개요
0.1 수박 당도 예측 ML 모델 ‐ 전체 과정 다이어그램 (수박 소리에 따른 당도 분류 버전)
1. 수박 원본 오디오 샘플을 멜 스펙트로그램(Mel Spectrogram) 으로 전처리하는 전체 과정
2. 특징 스케일링(Feature Scaling)
2.1 실제 코드 예시
3. 모델 학습 단계 개요
4. 모델 평가 단계 개요
5. 하이퍼파라미터 튜닝 특징 선택 개요
6. 앙상블 최적화 개요
7. 최종 모델 저장 및 변환
8. 실제 예측 배포
GBT, SVM, 랜덤 포레스트 모델에 대한 개요

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