파이썬을 이용한 머신러닝에 관해 다룹니다.
다항 회귀(Polynomial Regression): https://ehpub.co.kr/%eb%8b%a4%ed%95%ad-%ed%9a%8c%ea%b7%80polynomial-regression-%eb%a8%b8%ec%8b%a0%eb%9f%ac%eb%8b%9d-with-%ed%8c%8c%ec%9d%b4%ec%8d%ac/
선형 모델 규제(라쏘, 리지, 엘라스틱 넷) : https://ehpub.co.kr/%ec%84%a0%ed%98%95-%eb%aa%a8%eb%8d%b8-%ea%b7%9c%ec%a0%9c-%eb%a6%ac%ec%a7%80-%eb%9d%bc%ec%8f%98-%ec%97%98%eb%9d%bc%ec%8a%a4%ed%8b%b1-%eb%84%b7-%eb%a8%b8%ec%8b%a0%eb%9f%ac%eb%8b%9d-with/
선형 분류 모델 LogisticRegression : https://ehpub.co.kr/%ec%84%a0%ed%98%95-%eb%b6%84%eb%a5%98-%eb%aa%a8%eb%8d%b8-logisticregression-%eb%a8%b8%ec%8b%a0%eb%9f%ac%eb%8b%9d-with-%ed%8c%8c%ec%9d%b4%ec%8d%ac/
softmax 이진 분류 모델로 다중 분류 모델 만들기: https://ehpub.co.kr/softmax-%ec%9d%b4%ec%a7%84-%eb%b6%84%eb%a5%98-%eb%aa%a8%eb%8d%b8%eb%a1%9c-%eb%8b%a4%ec%a4%91-%eb%b6%84%eb%a5%98-%eb%aa%a8%eb%8d%b8-%eb%a7%8c%eb%93%a4%ea%b8%b0-%eb%a8%b8%ec%8b%a0%eb%9f%ac/
Binarizer로 recall과 precision 조절하기 : https://ehpub.co.kr/binarizer%eb%a1%9c-recall%ea%b3%bc-precision-%ec%a1%b0%ec%a0%88%ed%95%98%ea%b8%b0-%eb%a8%b8%ec%8b%a0%eb%9f%ac%eb%8b%9d-with-python/
KNN (K Nearest Neighbor) K 최근접 이웃 : https://ehpub.co.kr/knn-k-nearest-neighbor-k-%ec%b5%9c%ea%b7%bc%ec%a0%91-%ec%9d%b4-%eb%a8%b8%ec%8b%a0%eb%9f%ac%eb%8b%9d-with-python/