Machine Learning

1.Machine Learning? Human?

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3.타이타닉 생존자 예측

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4.label_encoder & scaler

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6.Pipeline

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7.하이퍼파라미터 튜닝

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8.모델 평가

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9.수학의 기초 - 함수

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10.Box Plot 기초

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11.Basic of Regression

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12.통계적 회귀

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14.Logistic Regression

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15.Precision and Recall

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16.앙상블 기법

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17.Boosting Algorithm

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18.k Nearest Neighber

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19.GBM, XGBoost, LightGBM

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20.CREDIT CARD FRAUD DETECTION

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21.NLP(Natural language processing)

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22.Naive Bayes Classifier

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23.PCA(Principal Component Analysis)

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24.PCA eigenface

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25.HAR using PCA

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26.MNIST data using PCA and kNN

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27.Titanic data using PCA, kNN

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28.Clustering

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30.Recommendations

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31.Good Books Recommendations

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