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1_3_마켓과_머신러닝.ipynb
1_3_마켓과_머신러닝.ipynb
2_1_훈련_세트와_테스트_세트.ipynb
2_1_훈련_세트와_테스트_세트.ipynb
2_2_데이터_전처리.ipynb
2_2_데이터_전처리.ipynb
3_1_k_최근접_이웃_회귀.ipynb
3_1_k_최근접_이웃_회귀.ipynb
3_2_선형_회귀.ipynb
3_2_선형_회귀.ipynb
3_3_특성_공학과_규제.ipynb
3_3_특성_공학과_규제.ipynb
4_1_로지스틱_회귀.ipynb
4_1_로지스틱_회귀.ipynb
4_2_확률적_경사_하강법.ipynb
4_2_확률적_경사_하강법.ipynb
5_1_결정_트리.ipynb
5_1_결정_트리.ipynb
5_2_교차_검증과_그리드_서치.ipynb
5_2_교차_검증과_그리드_서치.ipynb
5_3_트리의_앙상블.ipynb
5_3_트리의_앙상블.ipynb
6_1_군집_알고리즘.ipynb
6_1_군집_알고리즘.ipynb
6_2_K_평균.ipynb
6_2_K_평균.ipynb
6_3_PCA.ipynb
6_3_PCA.ipynb
7_1_인공_신경망.ipynb
7_1_인공_신경망.ipynb
7_2_심층_신경망.ipynb
7_2_심층_신경망.ipynb
7_3_신경망_모델_훈련.ipynb
7_3_신경망_모델_훈련.ipynb
8_1_합성곱_신경망의_구성_요소.ipynb
8_1_합성곱_신경망의_구성_요소.ipynb
8_2_합성곱_신경망을_사용한_이미지_분류.ipynb
8_2_합성곱_신경망을_사용한_이미지_분류.ipynb
8_3_합성곱_신경망의_시각화.ipynb
8_3_합성곱_신경망의_시각화.ipynb
9_1_순차_데이터와_순환_신경망.ipynb
9_1_순차_데이터와_순환_신경망.ipynb
9_2_순환_신경망으로_IMDB_리뷰_분류하기ipynb.ipynb
9_2_순환_신경망으로_IMDB_리뷰_분류하기ipynb.ipynb
9_3_LSTM과_GRU_셀.ipynb
9_3_LSTM과_GRU_셀.ipynb
과제1_202136026 장유정.ipynb
과제1_202136026 장유정.ipynb
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