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#머신러닝#파이썬#tensorflow#Data Augmentation#grid search#decision tree#regression#knn#회귀분석#hdf5#Flower-17#keras#교차검증#DBSCAN#비음수행렬분해#결정트리#k--NN#mnist#Ridge#NMF#Breast cancer#PCA#LASSO#linear regression#PIPELINE#분류#Python#rank-2 정확도#rank-1 정확도#feature_extract#feature_extractors#Extracting Feature#auto-encoder#lappy#Soft Margin#Elastic Net Regression#demming regression#cholesky#inverse matrix#불확실성 고려#랜덤 포레스트#binary classifier evaluation#nested cross-validation#asymmetric parameter#simple grid search#cross-validation#전문가 지식 활용#use of expert knowledge#feature selection based model#모델 기반 특성 선택#univariate analysis#단변량 분석#feqture auto-selection#nonlinear transform#보스턴 주택가격#polynomial analysis#onehotcoding#One-Hot-Encoding#face dataset#clustering valuation#병합 군집#벡터 양자화#vector quantization#k-mean#k-평균 알고리즘#t-SNE#eigen face#kernelized support vector machine#Gradient Boosting#ram price#multi classifier#Logistic Regresstion#활성화 함수#Loss Function#rnn#Logistic regression#classifier#Activation Function#preprocessing#polynomial#매니폴드#random forest#전처리#Linear#k-means#Neural network#SGD#SVR#OPERATION#PlaceHolder#face#interaction#Matrix#릿지#SVM#Wine