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PLAYDATA-COLAB
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1_파이썬_개발_환경_설치.ipynb
1_파이썬_개발_환경_설치.ipynb
20250430.ipynb
20250430.ipynb
20250519_2.ipynb
20250519_2.ipynb
20250521_5 (1).ipynb
20250521_5 (1).ipynb
20250521_qg_koquad.ipynb
20250521_qg_koquad.ipynb
20250522.ipynb
20250522.ipynb
20250522_cache.ipynb
20250522_cache.ipynb
2_벡터_데이터_베이스(벡터_DB의_이해,_벡터_DB를_활용한_검색).ipynb
2_벡터_데이터_베이스(벡터_DB의_이해,_벡터_DB를_활용한_검색).ipynb
2_파이썬_기본요소_문자열과_입출력.ipynb
2_파이썬_기본요소_문자열과_입출력.ipynb
2번째_자연어_처리_전통적_기법(NLP_규칙기반_시스템,_NLP_머신러닝).ipynb
2번째_자연어_처리_전통적_기법(NLP_규칙기반_시스템,_NLP_머신러닝).ipynb
3_문자열과_입출력.ipynb
3_문자열과_입출력.ipynb
4_함수,_유효범위,_추상화.ipynb
4_함수,_유효범위,_추상화.ipynb
5_구조적인_타입과_가변성(튜플,리스트,딕셔너리).ipynb
5_구조적인_타입과_가변성(튜플,리스트,딕셔너리).ipynb
6_재귀와_전역변수(클래스_선언과_객체_생성_및_상속).ipynb
6_재귀와_전역변수(클래스_선언과_객체_생성_및_상속).ipynb
7_json으로_저장된_데이터_불러와서_객체로_만들기.ipynb
7_json으로_저장된_데이터_불러와서_객체로_만들기.ipynb
7_모듈과_파일_테스트와_디버깅.ipynb
7_모듈과_파일_테스트와_디버깅.ipynb
8_데이터베이스.ipynb
8_데이터베이스.ipynb
9_기본쿼리_및_함수.ipynb
9_기본쿼리_및_함수.ipynb
CNN_RNN_GAN_DIFUSSION_강화학습.ipynb
CNN_RNN_GAN_DIFUSSION_강화학습.ipynb
LLM_파인튜닝_개념과_기본_준비.ipynb
LLM_파인튜닝_개념과_기본_준비.ipynb
LLM의_응용(LLM_적용하기).ipynb
LLM의_응용(LLM_적용하기).ipynb
LangChain 프롬프트탬플릿.ipynb
LangChain 프롬프트탬플릿.ipynb
LangChain개념.ipynb
LangChain개념.ipynb
LangChain메모리.ipynb
LangChain메모리.ipynb
LangChain모델비용.ipynb
LangChain모델비용.ipynb
RAG기반FAQ구현.ipynb
RAG기반FAQ구현.ipynb
RAG기반FAQ구현_ipynb의_사본.ipynb
RAG기반FAQ구현_ipynb의_사본.ipynb
README.md
README.md
[Baseline]_XGBoost를_활용한_채무_불이행_여부_예측.ipynb
[Baseline]_XGBoost를_활용한_채무_불이행_여부_예측.ipynb
dacon_3.ipynb
dacon_3.ipynb
결정트리.ipynb
결정트리.ipynb
고급_데이터_분석_기법과_평가.ipynb
고급_데이터_분석_기법과_평가.ipynb
다차원_배열의_계산,_출력층_설계하기.ipynb
다차원_배열의_계산,_출력층_설계하기.ipynb
데이터_분석_기법과_모델링.ipynb
데이터_분석_기법과_모델링.ipynb
데이터_이해와_준비(탐색,품질검토,정제).ipynb
데이터_이해와_준비(탐색,품질검토,정제).ipynb
데이터에서_결측치(missing_values),_이상치(outliers)_식별_및_처리.ipynb
데이터에서_결측치(missing_values),_이상치(outliers)_식별_및_처리.ipynb
동적크롤링_코렙버전.ipynb
동적크롤링_코렙버전.ipynb
두번째 프로젝트 자료조사.md
두번째 프로젝트 자료조사.md
리눅스_설치,_이해,_셸_활용,_편집기_활용_및_우분투_명령어_ipynb의_사본.ipynb
리눅스_설치,_이해,_셸_활용,_편집기_활용_및_우분투_명령어_ipynb의_사본.ipynb
머신러닝_개요_및_사례.ipynb
머신러닝_개요_및_사례.ipynb
모델_성능_고도화.ipynb
모델_성능_고도화.ipynb
모델검증.ipynb
모델검증.ipynb
모델훈련.ipynb
모델훈련.ipynb
벡터_데이터_베이스(벡터_DB의_이해,_벡터_DB를_활용한_검색).ipynb
벡터_데이터_베이스(벡터_DB의_이해,_벡터_DB를_활용한_검색).ipynb
분류.ipynb
분류.ipynb
서포트_백터_머신.ipynb
서포트_백터_머신.ipynb
손실함수,_수치_미분,_기울기1.ipynb
손실함수,_수치_미분,_기울기1.ipynb
손실함수,_수치_미분,_기울기2.ipynb
손실함수,_수치_미분,_기울기2.ipynb
심층신경망.ipynb
심층신경망.ipynb
요구사항,_시스템_설계,_객체_설계.ipynb
요구사항,_시스템_설계,_객체_설계.ipynb
이미지_딥러닝_응용(GAN).ipynb
이미지_딥러닝_응용(GAN).ipynb
자연어_딥러닝_기초(시퀸스_모델링,_텍스트_분류)_2nd.ipynb
자연어_딥러닝_기초(시퀸스_모델링,_텍스트_분류)_2nd.ipynb
자연어_딥러닝_응용(신경망_기계번역).ipynb
자연어_딥러닝_응용(신경망_기계번역).ipynb
자연어_딥러닝_응용(언어_모델링).ipynb
자연어_딥러닝_응용(언어_모델링).ipynb
자연어_딥러닝_응용(전이학습).ipynb
자연어_딥러닝_응용(전이학습).ipynb
자연어_딥러닝_응용(전이학습)_2.ipynb
자연어_딥러닝_응용(전이학습)_2.ipynb
자연어_이미지_멀티모달(테스트_기반_이미지_생성).ipynb
자연어_이미지_멀티모달(테스트_기반_이미지_생성).ipynb
자연어_임베딩_이해(임베딩의_역할,_벡터화_방식).ipynb
자연어_임베딩_이해(임베딩의_역할,_벡터화_방식).ipynb
자연어_처리_전통적_기법(NLP_규칙기반_시스템,_NLP_머신러닝).ipynb
자연어_처리_전통적_기법(NLP_규칙기반_시스템,_NLP_머신러닝).ipynb
자연어_처리_전통적_기법(전처리,_NLP_피쳐_엔지니어링).ipynb
자연어_처리_전통적_기법(전처리,_NLP_피쳐_엔지니어링).ipynb
정적크롤링.ipynb
정적크롤링.ipynb
차원축소_비지도학습.ipynb
차원축소_비지도학습.ipynb
텐서플로_사용자_정의_모델.ipynb
텐서플로_사용자_정의_모델.ipynb
특정_LLM_모델_(예_Llama_2,_Alpaca)을_Foundation_모델로_선택하여_도메인_특화_데이터로_파인튜닝.ipynb
특정_LLM_모델_(예_Llama_2,_Alpaca)을_Foundation_모델로_선택하여_도메인_특화_데이터로_파인튜닝.ipynb
프롬프트_엔지니어링_응용(Chan_of_Thought(CoT)).ipynb
프롬프트_엔지니어링_응용(Chan_of_Thought(CoT)).ipynb
프롬프트_엔지니어링_응용(RAG(검색_증강_생성)).ipynb
프롬프트_엔지니어링_응용(RAG(검색_증강_생성)).ipynb
합성곱신경망.ipynb
합성곱신경망.ipynb
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