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최근 조회 10,102
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지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 4개 강좌 중 3번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
중급 단계
완료하는 데 약 9시간 필요
영어
자막: 영어
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 4개 강좌 중 3번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
중급 단계
완료하는 데 약 9시간 필요
영어
자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1

1

완료하는 데 5시간 필요

Creating Regression Models

완료하는 데 5시간 필요
10개 동영상 (총 68분), 6 개의 읽기 자료, 7 개의 테스트
10개의 동영상
Instructor Introduction2m
Introduction to the Taxi Data7m
Creating and Cleaning Features8m
Introduction to Regression8m
Using the Regression Learner App10m
Customizing Model Parameters9m
Evaluating Regression Models6m
Evaluate Your Model in MATLAB9m
Summary of Regression1m
6개의 읽기 자료
Download and Install MATLAB15m
Data and Code Files15m
Introduction to Module 15m
Variables in the Taxi Data10m
Summary of Regression Models15m
Regression Metrics10m
3개 연습문제
Feature Engineering Review12m
Train a Regression Model30m
Apply the Regression Workflow45m
2

2

완료하는 데 3시간 필요

Creating Classification Models

완료하는 데 3시간 필요
2개 동영상 (총 10분), 5 개의 읽기 자료, 2 개의 테스트
2개의 동영상
Summary of Classification1m
5개의 읽기 자료
Introduction to Module 25m
Summary of Classification Models15m
Binary Classification Metrics Reference20m
Multiclass Classification Metrics Reference20m
Customizing Multiclass Models30m
2개 연습문제
Train a Classification Model30m
Apply The Classification Workflow50m
3

3

완료하는 데 1시간 필요

Applying the Supervised Machine Learning Workflow

완료하는 데 1시간 필요
2개 연습문제
Practice Reducing Model Complexity30m
Applying Ensemble Models30m

Practical Data Science with MATLAB 특화 과정 정보

Do you find yourself in an industry or field that increasingly uses data to answer questions? Are you working with an overwhelming amount of data and need to make sense of it? Do you want to avoid becoming a full-time software developer or statistician to do meaningful tasks with your data? Completing this specialization will give you the skills and confidence you need to achieve practical results in Data Science quickly. Being able to visualize, analyze, and model data are some of the most in-demand career skills from fields ranging from healthcare, to the auto industry, to tech startups. This specialization assumes you have domain expertise in a technical field and some exposure to computational tools, such as spreadsheets. To be successful in completing the courses, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation). Throughout this specialization, you will be using MATLAB. MATLAB is the go-to choice for millions of people working in engineering and science, and provides the capabilities you need to accomplish your data science tasks. You will be provided with free access to MATLAB for the duration of the specialization to complete your work....
Practical Data Science with MATLAB

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