December 2024
Beginner to intermediate
336 pages
7h 41m
Korean
Content preview from 로우코드 AI
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38
로우코드 AI
그림
2-6
전기 에너지 출력 모델에 기여하는 데이터 요소들
2.1.7
통신: 고객 이탈 예측
이 프로젝트의 목표는 통신사의 고객 이탈 여부를 예측하는 것입니다.
고객 이탈
은 서비스 이
용을 중단한 고객의 비율(고객 이탈률)로 정의됩니다. 통신사는 종종 월별이나 연간 계약으로
상품을 판매하므로, 여기서 말하는 이탈은 고객이 다음 달이나 다음 해의 계약을 취소하는 경
우를 의미합니다. 데이터셋에는 수치형 및 범주형 변수가 모두 포함되며, 여기서 변수는 불연
속적인 가능성 집합의 값을 취합니다. 여러분은
AutoML
이 매우 뛰어난 솔루션이라고 생각하
지만, 파이썬을 어느 정도 다룰 줄도 알기 때문에 모델을 좀 더 제어할 수 있는 로우코드 솔루
션을 원합니다. 따라서 사이킷런과 케라스를 사용하기로 합니다. [그림
2
-
7
]은 모델에 기여하
는 데이터 요소를 보여줍니다.
전기 에너지 출력
온도 데이터
습도 데이터
압력 데이터
진공 데이터
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.