Tag
#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