머신러닝 기초부터 탄탄히 정복하기
코코
이론과 실전은 다릅니다. 머신러닝의 기본 개념을 파악하고, 꼭 알아야 할 여러 모델들의 핵심 개념과 이론을 소개합니다. 그리고, 다양한 데이터를 다루어 보면서 실전에 도움되는 여러 기법들과 노하우를 공유합니다.
초급
머신러닝
R Programming Intermediate
We cover frequently used functions for R programming, how to write code efficiently, and intermediate techniques.
Reviews from Early Learners
What you will gain after the course
Basic functions frequently used in R
Apply series function application
Folder and data management
How to change external functions
Other useful techniques
🙆🏻♀ Covers frequently used functions for R programming, how to write code efficiently, and intermediate techniques. 🙆🏻♂
🗒 Course Introduction
This course is for those who have established the basics of R programming and now want to learn intermediate techniques, or those who want to write code more efficiently and quickly.
There are probably many people who are better at R than I am, but I'm confident that this course covers at least 90% of the techniques I frequently use.
🌈 Mastering basic functions
We cover various basic functions frequently used in R. (See curriculum)
🌈 Intermediate Technique
We will focus on how to write code efficiently and quickly.
-apply series functions / string matching techniques / folder creation and data management / do.call statement / how to declare thousands of variables (no tedious work) / how to use external packages by modifying them / source function
🙋🏻♂️ I'm curious!
•Can non-majors also take the course?
- You must take the R Programming Fundamentals course.
•Does this overlap with the web crawling/text mining/practical project lectures?
Those who have taken the above lecture will find this course very easy. As I explained in the lecture, new techniques and content were introduced as they emerged, and this lecture can be considered a compilation of all that information. Of course, there are some parts that don't overlap. It's helpful to note that approximately 50% of the lectures overlap.
•How much does it cover?
- I think it covers at least 80-90% of the content needed for web crawling/text mining/data preprocessing.
Recommended for
these people
Who is this course right for?
Anyone who knows the basics of R but wants to learn more
Anyone who wants to learn how to write code efficiently
Need to know before starting?
R basics
8,327
Learners
504
Reviews
136
Answers
4.4
Rating
20
Courses
학부에서는 통계학을 전공하고 산업공학(인공지능) 박사를 받고 여전히 공부중인 백수입니다.
수상
ㆍ 제6회 빅콘테스트 게임유저이탈 알고리즘 개발 / 엔씨소프트상(2018)
ㆍ 제5회 빅콘테스트 대출 연체자 예측 알고리즘개발 / 한국정보통신진흥협회장상(2017)
ㆍ 2016 날씨 빅데이터 콘테스트/ 기상산업 진흥원장상(2016)
ㆍ 제4회 빅콘테스트 보험사기 예측 알고리즘 개발 / 본선진출(2016)
ㆍ 제3회 빅콘테스트 야구 경기 예측 알고리즘 개발 / 미래창조과학부 장관상(2015)
* blog : https://bluediary8.tistory.com
주로 연구하는 분야는 데이터 사이언스, 강화학습, 딥러닝 입니다.
크롤링과 텍스트마이닝은 현재는 취미로 하고있습니다 :)
크롤링을 이용해서 인기있는 커뮤니티 글만 수집해서 보여주는 마롱이라는 앱을 개발하였고
전국의 맛집리스트와 블로그를 수집해서 맛집 추천 앱도 만들었었죠 :) (시원하게 말아먹..)
지금은 인공지능을 연구하는 박사과정생입니다.
Curriculum
All
17 lectures ∙ (2hr 48min)
Published:
Last updated:
Reviews
All
4 reviews
5.0
4 reviews
문성일Reviews 13
∙
Average Rating 5.0
- chihooi1985
Reviews 5
∙
Average Rating 5.0
- npainkiller
Reviews 1
∙
Average Rating 5.0
- 다른길
Reviews 7
∙
Average Rating 4.7
$22.00
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