DL 16
- [BoostCourse] 4. Regularization
- [BoostCourse] 4. Regularization
- [BoostCourse] 3. Gradient Descent Methods
- [BoostCourse] 2. 최적화
- [BoostCourse] 1. 딥러닝 기본
- [BoostCourse] 4. 피처 엔지니어링
- [Udemy] RNN (1)
- [Udemy] RNN (2)
- [BoostCourse] 2. 정형데이터 전처리
- [BoostCourse] 3. 머신러닝 기본 개념
- [BoostCourse] 1. 정형데이터와 EDA
- [BITAmin] Multi Linear Regression
- [BITAmin] Linear Regression
- [BITAmin] Feature Engineering and Regularization
- [BITAmin] 데이터 전처리
- [BITAmin] KNN