jihyunjeongme
I'm passionate about learning and teaching. I'm an optimistic Sr. Support Engineer that believes that technology can change people's lives for the better.
ElasticMelbourne, Australia
Pinned Repositories
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
AWSCertifiedSolutionsArchitectUnofficialStudyGuide
비공식 AWS 공인 솔루션스 아키텍트 – 어소시에이트 시험 가이드
Data-Science-Portfolio
instagram-auto-like-with-Python
instagram auto like with Python3.6(Mac OS)
python-crawler-coupang
python-multiprocessing
python-restapi-minitwitter
sign up coding
python-website-Flask
Statistical-Learning
파이썬 데이터 과학 통계 학습
TIL
jihyunjeongme's Repositories
jihyunjeongme/Statistical-Learning
파이썬 데이터 과학 통계 학습
jihyunjeongme/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
jihyunjeongme/Data-Science-Portfolio
jihyunjeongme/FlutterExampleApps
[Example APPS] Basic Flutter apps, for flutter devs.
jihyunjeongme/GDL_code
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
jihyunjeongme/Python-for-Data-Science
jihyunjeongme/python-ui-instagram-auto
jihyunjeongme/python-ui-instagram-auto_win
jihyunjeongme/python-ui-pyqt
First commit
jihyunjeongme/python-website-Flask
jihyunjeongme/TIL
jihyunjeongme/2019-SNS-Programming
jihyunjeongme/agent_analyzer
jihyunjeongme/dart-flutter
jihyunjeongme/Data-Analysis-Characteristics-Shared-Mobility
jihyunjeongme/data-analysis-kaggle
jihyunjeongme/data-science
data science
jihyunjeongme/Data-Science-Roadmap
jihyunjeongme/deeplearning-tensflow-3min
jihyunjeongme/delivery_app
jihyunjeongme/eck-glance
jihyunjeongme/fast_app_base
A foundational source for building apps quickly
jihyunjeongme/go_router_v7_practices
jihyunjeongme/jihyunjeongme
jihyunjeongme/Kaggle-knowhow
Kaggle-Knowhow(Korean Ver) 한국분들을 위한 Kaggle 자료 모음입니다
jihyunjeongme/kubernetes-the-hard-way
Bootstrap Kubernetes the hard way on Google Cloud Platform. No scripts.
jihyunjeongme/kubernetes-the-hard-way-aws
AWS version of Kelsey's kubernetes-the-hard-way
jihyunjeongme/langchain-kr
LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.
jihyunjeongme/lime-scooter-data-analysis
jihyunjeongme/Online_DS_VectorDB
<벡터DB로 구현하는 LLM 기반 검색 엔진 & 유사 상품 추천 시스템 (ft. Pinecone & Langchain)>에 대한 소스 코드를 업로드합니다.