예측모델1 의사 결정 나무(자전거 대여 예제) 1. 데이터 전처리 import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns bike_df = pd.read_csv('/content/drive/MyDrive/KDT/머신러닝과 딥러닝/data/bike.csv') bike_df.info() RangeIndex: 33379 entries, 0 to 33378 Data columns (total 16 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 datetime 33379 non-null object 1 count 33379 non-null in.. 2023. 12. 26. 이전 1 다음