April 2019
Beginner to intermediate
480 pages
12h 34m
Korean
Content preview from 파이썬 라이브러리를 활용한 머신러닝(번역개정판): 사이킷런 핵심 개발자가 쓴 머신러닝과 데이터 과학 실무서
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320
파이썬 라이브러리를 활용한 머신러닝(번역개정판)
그런 다음
get
_
feature
_
names
메서드를 사용해
PolynomialFeatures
로 추출한 모든 상호
작용 특성에 이름을 달아줍니다. 그리고 계수가
0
이 아닌 특성만 선택합니다.
In [72]:
features_poly = poly_transformer.get_feature_names(features)
features_nonzero = np.array(features_poly)[lr.coef_ != 0]
coef_nonzero = lr.coef_[lr.coef_ != 0]
이제 선형 모델에서 학습한 계수를 [그림
4
-
19
]처럼 나타낼 수 있습니다.
In [73]:
plt.gure(gsize=(15, 2))
plt.plot(coef_nonzero, 'o')
plt.xticks(np.arange(len(coef_nonzero)), features_nonzero, rotation=90)
plt.xlabel("특성 이름")
plt.ylabel("계수 크기")
그림
4-19
시간과 요일의 곱을 사용한 선형 모델의 계수
4.9
요약 및 정리
이번 장에서 여러 종류의 데이터 타입(특히 범주형 변수)을 다루는 법을 배웠습니다. 예를 들
어 원-핫-인코딩 범주형 변수처럼 머신러닝 알고리즘에 적합한 방식으로 데이터를 표현하는 ...
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and much more.
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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.