DataSchool StudyNote - ML

1.[ML] Iris Classification

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2.[ML] 과적합, 데이터분리, IRIS

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3.[ML] encoder and scaler

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4.[ML] Decision Tree를 이용한 와인 데이터 분석

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5.[ML] Pipeline

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6.[ML] 교차검증, 하이퍼파라미터 튜닝

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7.[ML] 모델 평가, ROC

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8.[ML] 수학 기초 - 함수

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9.[ML] Box Plot

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10.[ML] Linear Regression(회기), OLS

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11.[ML] Linear Regression(Cost Function)

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12.[ML] Logistic Regression

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13.[ML] 앙상블 기법, bagging(랜덤포레스트)

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14.[ML] Boosting Algorithm

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15.[ML] kNN(k Nearest Neighber)

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16.[ML] GBM, XGBoost, LightGBM

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17.[ML] Credit Card Fraud Detection

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18.[ML] NLP 환경 설정, 형태소

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19.[ML] NLP - 워드클라우드(이상한나라의엘리스, 스타워즈, 육아휴직관련법안)

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