jjinyeok 성장일지

Tags

• kt에이블스쿨
• 데이터분석
• 크롤링
• 딥러닝
• CRISP-DM
• 모델평가
• CIFAR-10
• 데이터크롤링
• Convolution Neural Network
• fashion mnist
• pandas
• Neural Network
• 머신러닝
• bias
• 데이터처리
• 데이터
• CNN
• 인공지능
• AI
• AWS 입문자를 위한 강의
• 키워드 기반 뉴스 조회
• 뉴스웨일
• NewsWhale
• Pooling Layer
• CNN 실습
• MaxPooling2D
• explained AI
• plot_model
• OneHotEncoding
• learning_rate
• n_estimators
• 앙상블 기법
• Random Search
• R2score
• 기초통계량
• 개별변수분석
• 단변량분석
• kernel trick
• 가변수화
• NaN조치
• 정적페이지크롤링
• papago API
• 3-way merge
• Elbow Method
• 동적페이지크롤링
• max_depth
• max_features
• min_samples_leaf
• Decision Boundary
• classification report
• early stopping
• Conv2D
• grid search
• drop out
• bagging
• 크롬드라이버
• Nueral Network
• MAPE
• 변수선택법
• 시계열 데이터
• rmse
• hyperparameter tuning
• crossentropy
• Batch Normalization
• Hyperparameter
• boosting
• git checkout
• Confusion Matrix
• 셀레니움
• 판다스
• 넘파이
• max pooling
• convolution layer
• activation function
• ReLU
• overfitting
• random forest
• Logistic Regression
• bs4
• xgboost
• git reset
• sigmoid
• Linear Regression
• Keras
• softmax
• requests
• TensorFlow
• 튜링테스트
• EDA
• mnist
• Stride
• numpy
• github
• convolution
• variance
• Ensemble
• git
• MSE
• summary
• pooling
• 성능 튜닝
• beautifulsoup
• Information Gain
• padding
• Mae
• Decision tree
• SVM
• 시각화
• knn
• conflict
• peas
• RDS
• ann
• selenium
• gamma
• 깃
• dense
• 스케일링
• MLP
• turing test
• connection
• cda
• branch
• head
• 모델링
• Open API
• AWS
• merge
• iris
• c
• Agent