logistic regression (1) 썸네일형 리스트형 E-Commerce Part Ⅱ: 로지스틱회귀분석 응용 로지스틱 회귀분석, Logistic Regression¶ ⅰ. 모듈 불러오기 & DATA 특성 확인¶ In [1]: import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns In [2]: df = pd.read_csv("Data/advertising.csv") df.info() RangeIndex: 1000 entries, 0 to 999 Data columns (total 10 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 Daily Time Spent on Site 1000 non-null float64 1 .. 이전 1 다음
