├── .gitattributes ├── .gitignore ├── README.md ├── ds ├── 01 python │ ├── .gitignore │ ├── .ipynb_checkpoints │ │ ├── 00.00 김도형의 데이터 사이언스 스쿨 - 파이썬 편-checkpoint.ipynb │ │ └── 00.01 커맨드 라인 인터페이스-checkpoint.ipynb │ ├── 00.00 소개의 글.ipynb │ ├── 01.00 1장 파이썬 설치와 설정.ipynb │ ├── 01.01 파이썬 설치하기.ipynb │ ├── 01.02 파이썬 처음 사용하기.ipynb │ ├── 01.03 파이썬 패키지 설치하기.ipynb │ ├── 01.04 데이터 분석용 파이썬 패키지 소개.ipynb │ ├── 01.05 아이파이썬 및 주피터 설정.ipynb │ ├── 02.00 2장 파이썬 기초 문법.ipynb │ ├── 02.01 파이썬을 계산기로 사용하기.ipynb │ ├── 02.02 부동소수점 실수 자료형.ipynb │ ├── 02.03 파이썬으로 글자를 출력하기.ipynb │ ├── 02.04 파이썬의 문자열 형식화.ipynb │ ├── 02.05 파이썬 조건문 기초.ipynb │ ├── 02.06 파이썬 함수.ipynb │ ├── 02.07 파이썬 for 반복문.ipynb │ ├── 02.08 여러 개의 자료를 한 변수에 담기.ipynb │ ├── 02.09 파이썬에서 리스트 자료형 다루기.ipynb │ ├── 02.10 리스트와 반복문을 사용하여 계산하기.ipynb │ ├── 02.11 파이썬에서 딕셔너리 자료형 다루기.ipynb │ ├── 02.12 파이썬 객체지향 프로그래밍.ipynb │ ├── 02.13 파이썬 패키지 사용하기.ipynb │ ├── 02.14 파이썬의 자료형.ipynb │ ├── 02.15 파이썬에서 날짜와 시간 다루기.ipynb │ ├── 03.00 3장 넘파이 배열 프로그래밍.ipynb │ ├── 03.01 넘파이 배열.ipynb │ ├── 03.02 배열의 생성과 변형.ipynb │ ├── 03.03 배열의 연산.ipynb │ ├── 03.04 기술 통계.ipynb │ ├── 03.05 난수 발생과 카운팅.ipynb │ ├── 04.00 4장 판다스 데이터 분석.ipynb │ ├── 04.01 판다스 패키지의 소개.ipynb │ ├── 04.02 데이터 입출력.ipynb │ ├── 04.03 데이터프레임 고급 인덱싱.ipynb │ ├── 04.04 데이터프레임의 데이터 조작.ipynb │ ├── 04.05 데이터프레임 인덱스 조작.ipynb │ ├── 04.06 데이터프레임 합성.ipynb │ ├── 04.07 피봇테이블과 그룹분석.ipynb │ ├── 04.08 시계열 자료 다루기.ipynb │ ├── 05.00 5장 데이터 시각화.ipynb │ ├── 05.01 시각화 패키지 맷플롯리브 소개.ipynb │ ├── 05.02 맷플롯리브의 여러가지 플롯.ipynb │ ├── 05.03 맷플롯리브의 삼각 그리드 사용법.ipynb │ ├── 05.04 시본을 사용한 데이터 분포 시각화.ipynb │ ├── 05.05 판다스의 시각화 기능.ipynb │ ├── _quarto.yml │ └── figs │ │ ├── jupyter_notebook_1.png │ │ ├── jupyter_notebook_10.png │ │ ├── jupyter_notebook_11.png │ │ ├── jupyter_notebook_12.png │ │ ├── jupyter_notebook_13.png │ │ ├── jupyter_notebook_2.png │ │ ├── jupyter_notebook_3.png │ │ ├── jupyter_notebook_4.png │ │ ├── jupyter_notebook_5.png │ │ ├── jupyter_notebook_6.png │ │ ├── jupyter_notebook_7.png │ │ ├── jupyter_notebook_8.png │ │ └── jupyter_notebook_9.png ├── 02 mathematics │ ├── 00.00 소개의 글.ipynb │ ├── 01.00 1장 수학 기호.ipynb │ ├── 01.01 그리스 문자.ipynb │ ├── 01.02 수열과 집합의 합과 곱.ipynb │ ├── 02.00 2장 넘파이(NumPy)로 공부하는 선형대수.ipynb │ ├── 02.01 데이터와 행렬.ipynb │ ├── 02.02 벡터와 행렬의 연산.ipynb │ ├── 02.03 행렬의 성질.ipynb │ ├── 02.04 선형 연립방정식과 역행렬.ipynb │ ├── 03.00 3장 고급 선형대수.ipynb │ ├── 03.01 선형대수와 해석기하의 기초.ipynb │ ├── 03.02 좌표와 변환.ipynb │ ├── 03.03 고윳값 분해.ipynb │ ├── 03.04 특잇값 분해.ipynb │ ├── 03.05 PCA.ipynb │ ├── 04.00 4장 심파이(SymPy)로 공부하는 미적분.ipynb │ ├── 04.01 함수.ipynb │ ├── 04.02 심파이를 사용한 함수 미분.ipynb │ ├── 04.03 적분.ipynb │ ├── 04.04 행렬의 미분.ipynb │ ├── 04.05 변분법.ipynb │ ├── 05.00 5장 사이파이(SciPy)로 공부하는 최적화.ipynb │ ├── 05.01 최적화 기초.ipynb │ ├── 05.02 제한조건이 있는 최적화 문제.ipynb │ ├── 05.03 선형계획법 문제와 이차계획법 문제.ipynb │ ├── 06.00 6장 피지엠파이(pgmpy)로 공부하는 확률론.ipynb │ ├── 06.01 집합.ipynb │ ├── 06.02 확률의 수학적 정의와 의미.ipynb │ ├── 06.03 확률의 성질.ipynb │ ├── 06.04 확률분포함수.ipynb │ ├── 06.05 결합확률과 조건부확률.ipynb │ ├── 06.06 베이즈 정리.ipynb │ ├── 07.00 7장 확률변수와 상관관계.ipynb │ ├── 07.01 확률적 데이터와 확률변수.ipynb │ ├── 07.02 기댓값과 확률변수의 변환.ipynb │ ├── 07.03 분산과 표준편차.ipynb │ ├── 07.04 다변수 확률변수.ipynb │ ├── 07.05 공분산과 상관계수.ipynb │ ├── 07.06 조건부기댓값과 예측 문제.ipynb │ ├── 08.00 8장 사이파이로 공부하는 확률분포.ipynb │ ├── 08.01 사이파이를 이용한 확률분포 분석.ipynb │ ├── 08.02 베르누이분포와 이항분포.ipynb │ ├── 08.03 카테고리분포와 다항분포.ipynb │ ├── 08.04 정규분포와 중심극한정리.ipynb │ ├── 08.05 스튜던트 t분포, 카이제곱분포, F분포.ipynb │ ├── 08.06 다변수정규분포.ipynb │ ├── 08.07 베타분포, 감마분포, 디리클레 분포.ipynb │ ├── 09.00 9장 추정과 검정.ipynb │ ├── 09.01 확률분포의 추정.ipynb │ ├── 09.02 최대가능도 추정법.ipynb │ ├── 09.03 베이즈 추정법.ipynb │ ├── 09.04 검정과 유의확률.ipynb │ ├── 09.05 사이파이를 사용한 검정.ipynb │ ├── 10.00 10장 엔트로피.ipynb │ ├── 10.01 엔트로피.ipynb │ ├── 10.02 조건부엔트로피.ipynb │ ├── 10.03 교차엔트로피와 쿨백-라이블러 발산.ipynb │ └── 10.04 상호정보량.ipynb ├── 03 machine learning │ ├── 01.01 데이터 분석의 소개.ipynb │ ├── 01.02 머신러닝용 파이썬 패키지.ipynb │ ├── 02.01 데이터 전처리 기초.ipynb │ ├── 02.02 범주형 데이터 처리.ipynb │ ├── 03.01.01 NLTK 자연어 처리 패키지.ipynb │ ├── 03.01.02 KoNLPy 한국어 처리 패키지.ipynb │ ├── 03.01.03 Scikit-Learn의 문서 전처리 기능.ipynb │ ├── 03.01.04 soynlp.ipynb │ ├── 03.01.05 확률론적 언어 모형.ipynb │ ├── 03.02.01 이미지 처리 기초.ipynb │ ├── 03.02.02 이미지 필터링.ipynb │ ├── 03.02.03 이미지 컨투어.ipynb │ ├── 03.02.04 이미지 변환.ipynb │ ├── 03.02.05 이미지 특징 추출.ipynb │ ├── 03.03.01 사운드 프로세싱 기초.ipynb │ ├── 03.03.02 푸리에 변환과 스펙트럼.ipynb │ ├── 03.04.01 지리 정보 데이터 처리.ipynb │ ├── 03.04.02 지오코딩.ipynb │ ├── 04.01 회귀분석 예제.ipynb │ ├── 04.02 선형회귀분석의 기초.ipynb │ ├── 04.03 스케일링.ipynb │ ├── 04.04 범주형 독립변수.ipynb │ ├── 04.05 부분회귀.ipynb │ ├── 05.01 확률론적 선형 회귀모형.ipynb │ ├── 05.02 회귀분석의 기하학.ipynb │ ├── 05.03 레버리지와 아웃라이어.ipynb │ ├── 05.04 분산 분석과 모형 성능.ipynb │ ├── 06.01 모형 진단과 수정.ipynb │ ├── 06.02 기저함수 모형과 과최적화.ipynb │ ├── 06.03 교차검증.ipynb │ ├── 06.04 다중공선성과 변수 선택.ipynb │ ├── 06.05 정규화 선형회귀.ipynb │ ├── 07.01 추천 시스템.ipynb │ ├── 09.01 분류용 예제 데이터.ipynb │ ├── 09.02 분류용 가상 데이터 생성.ipynb │ ├── 09.03 분류모형.ipynb │ ├── 09.04 분류 성능평가.ipynb │ ├── 10.01 로지스틱 회귀분석.ipynb │ ├── 11.01 선형판별분석법과 이차판별분석법.ipynb │ ├── 11.02 나이브베이즈 분류모형.ipynb │ ├── 11.03 감성 분석.ipynb │ ├── 12.01 의사결정나무.ipynb │ ├── 12.02 모형 결합.ipynb │ ├── 12.03 부스팅 방법.ipynb │ ├── 13.02 서포트 벡터 머신.ipynb │ ├── 13.03 커널 서포트 벡터 머신.ipynb │ ├── 14.01 모형 최적화.ipynb │ ├── 14.02 비대칭 데이터 문제.ipynb │ ├── 14.03 특징 선택.ipynb │ ├── 14.04 대규모 데이터 학습.ipynb │ ├── 16.01 군집화.ipynb │ ├── 16.02 K-평균 군집화.ipynb │ ├── 16.03 디비스캔 군집화.ipynb │ ├── 16.04 계층적 군집화.ipynb │ ├── 16.05 Affinity Propagation.ipynb │ ├── 17.01 그래프 이론 기초.ipynb │ ├── 17.02 그래프 확률모형.ipynb │ ├── 17.03 네트워크 추론.ipynb │ ├── 18.01 가우시안 혼합모형과 EM 방법.ipynb │ ├── 18.02 변분법적 추론.ipynb │ ├── 19.01 몬테카를로 베이지안 분석.ipynb │ ├── 19.02 베이지안 회귀 분석 예제.ipynb │ └── 20.01 히든 마코프 모형.ipynb ├── _config.yml ├── _static │ └── myfile.css ├── _toc.yml ├── intro.md ├── logo.svg └── requirements.txt ├── publish.cmd ├── publish.sh └── vscode.code-workspace /.gitattributes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/datascienceschool/book/HEAD/.gitattributes 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