CHAPTER 01 단답형 예상문제· 5

SECTION 01 단답형 예상 문제 ································································6
SECTION 02 문제 해설 및 정답 ····························································37

CHAPTER 02 단답형 기출문제 · 64

SECTION 01 제2회 단답형 기출문제 ····················································65
SECTION 02 제3회 단답형 기출문제 ····················································67
SECTION 03 문제 해설 및 정답 ····························································69

CHAPTER 01 파이썬과 데이터 다루기 · 74

SECTION 01 빅데이터 분석기사 실기 시험 특징 ·································75
SECTION 02 파이썬 설치하기 ································································80
SECTION 03 파이썬 기초 ·······································································88
SECTION 04 numpy 함수 ···································································104
SECTION 05 pandas와 기본 데이터 처리 ·········································111

CHAPTER 02 데이터 탐색과 데이터정제 · 128

SECTION 01 단변량 데이터 탐색 ························································129
SECTION 02 이변량 데이터 검색 ························································137
SECTION 03 이상치 처리 ····································································141
SECTION 04 변수 변환 ········································································149
SECTION 05 결측치 처리 ····································································153
SECTION 06 데이터정제 실전과제 ······················································172

CHAPTER 03 머신러닝 프로세스 A to Z · 184

SECTION 01 머신러닝 프로세스 ··························································185
SECTION 02 머신러닝 맛보기 1. 분류문제 ········································193
SECTION 03 머신러닝 맛보기 2. 회귀문제 ········································209
SECTION 04 머신러닝 프로세스 1. 범주변수의 변환 ························221
SECTION 05 머신러닝 프로세스 2. 데이터셋 분할과 모델검증 ········225
01
단답형 대비
02
작업형 대비
SECTION 06 머신러닝 프로세스 3. 데이터 정규화 ····························231
SECTION 07 머신러닝 프로세스 4. 모델훈련과 세부튜닝 ·················241
SECTION 08 머신러닝 프로세스 5. 모델평가 ·····································249
SECTION 09 머신러닝 프로세스 6. 다중분류 ·····································253

CHAPTER 04 머신러닝 핵심 알고리즘 · 258

SECTION 01 로지스틱 회귀모델 ··························································259
SECTION 02 K-최근접이웃법(KNN) ···················································268
SECTION 03 나이브 베이즈 ·································································280
SECTION 04 인공신경망 ······································································291
SECTION 05 서포트 벡터머신 ·····························································301
SECTION 06 의사결정나무 ···································································314
SECTION 07 랜덤 포레스트 ·································································325
SECTION 08 투표기반 앙상블 ·····························································337
SECTION 09 앙상블 배깅(Bagging) ···················································346
SECTION 10 앙상블 부스팅(Boosting) ···············································352
SECTION 11 앙상블 스태킹(Stacking) ···············································362
SECTION 12 선형회귀모델 ···································································369
SECTION 13 릿지 회귀모델 ·································································377
SECTION 14 라쏘(Lasso) 회귀모델 ····················································382
SECTION 15 엘라스틱넷 ······································································387
SECTION 16 군집분석 ··········································································392
SECTION 17 DBSCAN ········································································411
SECTION 18 연관규칙분석 ···································································418

CHAPTER 05 작업형 예제문제 및 기출문제 풀이 · 428

SECTION 01 예제문제 및 기출문제 ····················································429
SECTION 02 예제문제 및 기출문제 풀이 ···········································439