DataScience2 IDS_2주차: Data Visualization EDA, Explorative Data Analysis: 다양한 차원과 값을 조합해가며 특이점이나 의미있는 사실을 도출하고 분석의 최종 목적을 달성해나가는 과정 1) Verify expected relationships2) Find some Unexpected structure in the data3) Deliver data-driven insights in the right questions and not bias the investigation4) Provide the context around the problemMain topic in EDA: 저항성의 강조 / 잔차계산 / 자료변수의 재표현 / 그래프를 통한 현시성 제공 GraphsGraphs are used for data explorati.. 2024. 10. 10. IDS_1주차: IDS란? 데이터 마이닝, data mining : discovering patterns in large data sets by using machine learning, statistics, and database systemsData Science,DS : fourth paradigm of science - Classification / Prediction - Correlation - Clustering - Rule findingPurposes of using DS- Productivity- Economic cost saving- Quality improvement- Safety & Environment Machine Learning: find a function that can predict the outpu.. 2024. 10. 10. 이전 1 다음
