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Course Outline
소개
Data Mining 개념 개요
Data Mining Techniques
연관 규칙 찾기
일치하는 엔터티
네트워크 분석
텍스트의 감성 분석
명명된 엔터티 인식
텍스트 요약 구현
주제 모델 생성
데이터 이상 징후 감지
모범 사례
요약 및 결론
Requirements
- Python 프로그래밍에 대한 이해.
- 일반적으로 Python 라이브러리에 대한 이해.
청중
- 데이터 분석가
- 데이터 과학자
14 Hours
회원 평가 (5)
우리 프로젝트에서 사용하는 것과 더 유사한 데이터를 사용하여 더 실용적인 연습을 할 수 있다는 사실(래스터 형식의 위성 이미지)
Matthieu - CS Group
Course - Scaling Data Analysis with Python and Dask
Machine Translated
Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)
Monika - Procter & Gamble Polska Sp. z o.o.
Course - Developing APIs with Python and FastAPI
It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course
Bozena Stansfield - New College Durham
Course - Build REST APIs with Python and Flask
Trainer develops training based on participant's pace
Farris Chua
Course - Data Analysis in Python using Pandas and Numpy
I mostly enjoyed everything.
