Machine Learning

1.[ML] 기준선이 필요한 이유

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2.[ML] 단순선형회귀

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3.[ML] 과적합을 낮춰보자(1) Ridge 회귀

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4.[statistics] 단순선형회귀모델 전제 조건

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5.[ML] Encoding

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6.[ML] GridSearchCV

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7.[ML] data Wrangling

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8.[ML] 평가지표

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9.[ML] Logistic Regression

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10.[ML] Decision Trees

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11.[ML] Random Forests

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12.[ML] Data Leakage

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13.[ML] Boosting Model

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14.[ML] 기술 면접을 위한 개념 정리 - 1

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15.카테고리형 데이터를 숫자로 바꾸는 이유

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16.인공지능 평가지표와 데이터 불균형

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