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Certificate
Course Outline
소개
Knime 시작하기
- KNIME은 무엇입니까?
- KNIME 분석
- KNIME 서버
Machine Learning
- 컴퓨터 학습 이론
- 컴퓨팅 경험을 위한 컴퓨터 알고리즘
개발 환경 준비
- 설치 및 구성 KNIME
KNIME 노드
- 노드 추가
- Access데이터 가져오기 및 읽기
- 데이터 병합, 분할, 필터링
- 데이터 그룹화 및 피벗
- 데이터 정리
모델링
- 워크플로 만들기
- 데이터 가져오기
- 데이터 준비
- 데이터 시각화
- 의사결정 트리 모델 만들기
- 회귀 모델 작업
- 데이터 예측
- 데이터 비교 및 일치
학습 기술
- 랜덤 포레스트 기술을 사용한 작업
- 다항식 회귀 사용
- 수업 배정
- 모델 평가
요약 및 결론
Requirements
- Python에 대한 경험
- R 경험
청중
- 데이터 과학자
14 Hours
회원 평가 (5)
Day 1 and Day 2 were really straight forward for me and really enjoyed that experience.
Mareca Sithole - Africa Health Research Institute
Course - R Fundamentals
Very useful in because it helps me understand what we can do with the data in our context. It will also help me
Nicolas NEMORIN - Adecco Groupe France
Course - KNIME Analytics Platform for BI
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customize the training meeting clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!.
Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course - Programming with Big Data in R
I enjoyed the Excel sheets provided having the exercises with examples. This meant that if Tamil was held up helping other people, I could crack on with the next parts.
