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#오블완 #티스토리챌린지 #Kaggle #ML #dl #캐글 #nodejs #backend #Express #home credit default risk #translation invariance #SUNYTIME #Underfitting #time-series #Overfitting #xgboost #사이드 프로젝트 #시계열 #웹개발 #cnn #mercari price suggestion challenge #2017 kaggle machine learning & data science survey #toxic comment classification challenge #spooky author identification #zillow prize: zillow’s home value prediction (zestimate) #new york city taxi trip duration #2018 data science bowl #costa rican household poverty level #tensorflow speech recognition challenge #statoil/c-core iceberg classifier #porto seguro's safe driver prediction #target encoding #binary encoding #tf-idf encoding #tf encoding #threshold optimization #multiclass classification #hyperparamter tuning #early-stopping #end-to-end learning #mismatched data #incorrectly labeled data #orthogonalization #structuring ml projects #categorical variables #tree-based ensemble models #activation functions #drop-out #logistic loss function #polars #tabnet #scale of features #code cheatsheet #data imputation #차원의 저주 #Credit Card Fraud Detection #imputation #missing data #범주형 변수 #Data Augmentation #transfer learning #catboost #multi-task learning #cross validation #natural language processing #Weight Initialization #skip connection #오차 역전파 #학습률 #경사 하강법 #error analysis #손실함수 #curse of dimensionality #PASTING #Bagging #loss function #autoencoder #비지도학습 #learning rate #one-hot encoding #활성화 함수 #지도학습 #Convolutional Neural Network #가중치 초기화 #로지스틱 회귀 #simd #lightgbm #ResNet #Stacking #linear regression #gradient descent #standardization #regularization #EDA #Gbm #교차검증 #random forest #용어 정리 #variance #boosting #correlation #정규화 #Normalization #plot #스케일링 #encoding #metric #프로젝트 #Titanic #채용 #학교 #ensemble #nlp #bias #voting
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