전체보기 (1010) 썸네일형 리스트형 생성형 AI 및 LLM 관련 Reading List LLM (Large Language Model) Reading ListNLP's ImageNet moment has arrived (NLP ImageNet 시대의 도래) : https://thegradient.pub/nlp-imagenet/Google Cloud supercharges NLP with large language models (Google Cloud 대규모 언어모델로 NLP강화) : https://cloud.google.com/blog/products/ai-machine-learning/google-cloud-supercharges-nlp-with-large-language-models LaMDA: our breakthrough conversation technology (LaMDA : G.. 분석/학습용 공개 데이터 세트들 (Public Dataset Resources) 링크 포함 구글 클라우드 공개데이터 세트 Google Cloud Public Dataset링크 : https://cloud.google.com/datasets데이터세트 검색 : https://datasetsearch.research.google.com/Google 데이터세트Google 트렌드 : 지난 30일 동안의 Google 트렌드에서 상위 25개/급상승 25개 쿼리, 전세계 50여개 국가 데이터 포함, 미국내 210개의 지정시장지역(DMA)에 대한 5년간 과거데이터 포함Google 애널리틱스 : 웹사이트 트래픽 소스, 컨텐츠, 트랜잭션 데이터 포함 Google 애널리틱스 360개 데이터 (2016.08~2017.08, 비식별화)Google 특허검색 : 제목, 초록 기계번역, 임베딩 벡터, 상위 용어 추출, 유사.. [Python] Seaborn을 활용한 시각화 실습 단원별 심화 연습 문제¶In [1]: import numpy as npimport pandas as pdimport seaborn as snsimport matplotlib.pyplot as pltimport seaborn as snsimport glob# set floating point formattingpd.options.display.float_format = '{:,.1f}'.format Q6¶범위(이전 범위 포함)시각화rental.csv 파일을 로드하여 다음의 지시사항에 맞는 시각화 그래프를 생성하고 출력합니다.date - 시간. 연-월-일 시:분:초 로 표현합니다. (가령 2011-01-01 00:00:00은 2011년 1월 1일 0시 0분 0초)businessday - 근무일.. [Python] Seaborn을 활용한 시각화 - seaborn stats 통계 기반의 그래프¶In [1]: !pip install seaborn==0.13.0 Defaulting to user installation because normal site-packages is not writeableCollecting seaborn==0.13.0 Downloading seaborn-0.13.0-py3-none-any.whl (294 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 294.6/294.6 kB 4.8 MB/s eta 0:00:00a 0:00:01Requirement already satisfied: pandas>=1.2 in ./.local/lib/python3.9/site-packages (from.. [Python] Seaborn을 활용한 시각화 모듈 Import¶In [1]: !pip install seaborn==0.13.0 Defaulting to user installation because normal site-packages is not writeableCollecting seaborn==0.13.0 Downloading seaborn-0.13.0-py3-none-any.whl (294 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 294.6/294.6 kB 2.2 MB/s eta 0:00:00a 0:00:01Requirement already satisfied: numpy!=1.24.0,>=1.20 in ./.local/lib/python3.9/site-packag.. [Python] Matplotlib을 활용한 시각화 실습 matplotlib 그래프¶pyplot 공식 도큐먼트 살펴보기In [1]: !pip install --upgrade --force-reinstall seaborn Defaulting to user installation because normal site-packages is not writeableCollecting seaborn Downloading seaborn-0.13.2-py3-none-any.whl (294 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 294.9/294.9 kB 6.4 MB/s eta 0:00:00a 0:00:01Collecting numpy!=1.24.0,>=1.20 Downloading numpy-2... [Python] Matplotlib을 활용한 시각화 matplotlib.pyplot의 기본적인 canvas 그리기와 스타일링 예제¶pyplot 공식 도큐먼트 살펴보기본 튜토리얼은 matplotlib의 가장 기본적인 튜토리얼을 제공합니다.다양한 옵션값과 스타일 기본 설정법을 배울 수 있습니다.In [1]: import numpy as npimport pandas as pdimport matplotlib.pyplot as pltimport matplotlib.font_manager as fmimport warningswarnings.filterwarnings('ignore')# Unicode warning 제거 (폰트 관련 경고메시지)plt.rcParams['axes.unicode_minus']=False# 한글 폰트 설정plt.rcParams['fo.. [Python] 데이터프레임 시각화 실습에 필요한 데이터 파일 다운로드¶In [1]: # 실습 파일에 필요한 데이터 파일 다운로더 설치!pip install opendata-kr -q [notice] A new release of pip available: 22.2.2 -> 24.1.1[notice] To update, run: pip install --upgrade pipIn [2]: from opendata import datasetdataset.download('민간아파트분양') ======= 다운로드 시작 =======data/house_price.csv 0%| | 0.00/131k [00:00 ======= 다운로드 완료 ====.. [Python] Pandas concat, merge 실습 단원별 심화 연습 문제¶In [1]: !pip install seaborn==0.13.0 Defaulting to user installation because normal site-packages is not writeableCollecting seaborn==0.13.0 Downloading seaborn-0.13.0-py3-none-any.whl (294 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 294.6/294.6 kB 6.1 MB/s eta 0:00:00a 0:00:01Requirement already satisfied: numpy!=1.24.0,>=1.20 in ./.local/lib/python3.9/site-pac.. [Python] Pandas concat, merge 모듈 import¶In [1]: !pip install seaborn==0.13.0 Defaulting to user installation because normal site-packages is not writeableCollecting seaborn==0.13.0 Downloading seaborn-0.13.0-py3-none-any.whl (294 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 294.6/294.6 kB 4.4 MB/s eta 0:00:00a 0:00:01Requirement already satisfied: numpy!=1.24.0,>=1.20 in ./.local/lib/python3.9/site-packag.. [Python] Pandas groupby, pivottable 실습 단원별 심화 연습 문제¶In [1]: !pip install seaborn==0.13.0 Defaulting to user installation because normal site-packages is not writeableCollecting seaborn==0.13.0 Downloading seaborn-0.13.0-py3-none-any.whl (294 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 294.6/294.6 kB 2.1 MB/s eta 0:00:00a 0:00:01Requirement already satisfied: numpy!=1.24.0,>=1.20 in ./.local/lib/python3.9/site-pac.. [Python] Pandas 고급 전처리와 피벗테이블 모듈 import¶In [1]: !pip install seaborn==0.13.0 Defaulting to user installation because normal site-packages is not writeableCollecting seaborn==0.13.0 Downloading seaborn-0.13.0-py3-none-any.whl (294 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 294.6/294.6 kB 6.1 MB/s eta 0:00:00a 0:00:01Requirement already satisfied: matplotlib!=3.6.1,>=3.3 in ./.local/lib/python3.9/site-pac.. [Python] Pandas 전처리, 추가, 삭제, 데이터 변환 모듈 import¶In [1]: !pip install seaborn==0.13.0 Defaulting to user installation because normal site-packages is not writeableCollecting seaborn==0.13.0 Downloading seaborn-0.13.0-py3-none-any.whl (294 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 294.6/294.6 kB 6.6 MB/s eta 0:00:00a 0:00:01Requirement already satisfied: numpy!=1.24.0,>=1.20 in ./.local/lib/python3.9/site-packag.. [Python] Pandas 복제, 결측치 실습 단원별 심화 연습 문제¶In [1]: !pip install seaborn==0.13.0 Defaulting to user installation because normal site-packages is not writeableCollecting seaborn==0.13.0 Downloading seaborn-0.13.0-py3-none-any.whl (294 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 294.6/294.6 kB 2.1 MB/s eta 0:00:00a 0:00:01Requirement already satisfied: matplotlib!=3.6.1,>=3.3 in ./.local/lib/python3.9/site-.. [Python] Pandas 복제, 결측치 모듈 import¶In [1]: !pip install seaborn==0.13.0 Defaulting to user installation because normal site-packages is not writeableCollecting seaborn==0.13.0 Downloading seaborn-0.13.0-py3-none-any.whl (294 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 294.6/294.6 kB 6.1 MB/s eta 0:00:00a 0:00:01Requirement already satisfied: matplotlib!=3.6.1,>=3.3 in ./.local/lib/python3.9/site-pac.. [Python] Pandas 통계 실습 단원별 심화 연습 문제¶In [1]: !pip install seaborn==0.13.0 Defaulting to user installation because normal site-packages is not writeableCollecting seaborn==0.13.0 Downloading seaborn-0.13.0-py3-none-any.whl (294 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 294.6/294.6 kB 6.6 MB/s eta 0:00:00a 0:00:01Requirement already satisfied: numpy!=1.24.0,>=1.20 in ./.local/lib/python3.9/site-pac.. [Python] Pandas 통계 모듈 import¶In [1]: !pip install seaborn==0.13.0 Defaulting to user installation because normal site-packages is not writeableCollecting seaborn==0.13.0 Downloading seaborn-0.13.0-py3-none-any.whl (294 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 294.6/294.6 kB 5.8 MB/s eta 0:00:00a 0:00:01Requirement already satisfied: matplotlib!=3.6.1,>=3.3 in ./.local/lib/python3.9/site-pac.. [Python] Pandas 실습 단원별 심화 연습 문제 (난이도: 중)¶In [1]: !pip install seaborn==0.13.0 Defaulting to user installation because normal site-packages is not writeableCollecting seaborn==0.13.0 Downloading seaborn-0.13.0-py3-none-any.whl (294 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 294.6/294.6 kB 2.1 MB/s eta 0:00:00a 0:00:01Requirement already satisfied: pandas>=1.2 in ./.local/lib/python3.9/site-pac.. [Python] Pandas 조회, 정렬, 조건 필터 (타이타닉 승객 데이터) 모듈 import¶In [1]: !pip install seaborn==0.13.0 Defaulting to user installation because normal site-packages is not writeableCollecting seaborn==0.13.0 Downloading seaborn-0.13.0-py3-none-any.whl (294 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 294.6/294.6 kB 6.6 MB/s eta 0:00:00a 0:00:01Requirement already satisfied: numpy!=1.24.0,>=1.20 in ./.local/lib/python3.9/site-packag.. [Python] 파일 입출력 모듈 import¶In [1]: from IPython.display import Imageimport numpy as npimport pandas as pd 데이터 다운로드¶In [2]: from opendata import dataset# 데이터셋 다운로드dataset.download('서울시대중교통')dataset.download('서울시주민등록인구') ======= 다운로드 시작 =======data/seoul_transportation.xlsx 0%| | 0.00/26.2k [00:00 ======= 다운로드 완료 ============== 다운로드 시작 =======data/seoul_population.c.. 이전 1 2 3 4 ··· 51 다음
