일 | 월 | 화 | 수 | 목 | 금 | 토 |
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 |
8 | 9 | 10 | 11 | 12 | 13 | 14 |
15 | 16 | 17 | 18 | 19 | 20 | 21 |
22 | 23 | 24 | 25 | 26 | 27 | 28 |
29 | 30 |
- Data Science
- 소프티어
- Python
- 깨끗한 코드
- 자바
- 데이터 사이언스
- data science methodology
- 문자열
- AI Mathematics
- 알고리즘
- 티스토리챌린지
- IBM
- softeer
- 코딩테스트
- string
- programmers
- 오블완
- 파이썬
- 클린코드
- 프로그래머스
- Clean Code
- 클린코드 파이썬
- 데이터과학
- 코세라
- 부스트캠프
- Boostcamp AI
- 데이터사이언스
- 코테
- Coursera
- Java
- Today
- Total
목록데이터 사이언스 (3)
떼닝로그

Data Science Methodology Final Project Introduction to CRISP-DM What is CRISP-DM? - an acronym for Cross-industry Standard Process for Data Mining (acronym : 앞글자만 딴 단어) - a structured approach to guide data-driven decision-making CRSIP-DM as a data methodology the CRISP-DM model includes: - data mining stages - data mining stage descriptions - explanations of the relationships between tasks and ..

Data Science Methodology From Modeling to Evaluation Modeling - Concepts From Modeling to Evaluation - Modeling : In what way can the data be visualized to get to the answer that is required? - Evaluation : Does the model used really answer the initial question or does it need to be adjusted? Data Modeling : Using Predictive or Descriptive? Data Modeling : Using training/test sets Understand the..
Tools for Data Science Data Science Tools Categories of Data Science Tools Data Science Categories - raw data must pass through Data Science categories : such as Data Management, Data Integration and Transformation, Data Visualization, Model Building, Model Deployment, Model Monitoring and Assessment - to do these tasks, data asset management and code asset management, execution environments, an..