회귀모델1 다양한 모델 적용 1. AirQualityUCI 데이터셋 import numpy as np import pandas as pd import seaborn as sns import matplotlib.pyplot as plt air_df = pd.read_csv('/content/drive/MyDrive/KDT/머신러닝과 딥러닝/data/AirQualityUCI.csv') air_df.info() RangeIndex: 9471 entries, 0 to 9470 Data columns (total 17 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 Date 9357 non-null object 1 Time 9357 no.. 2024. 1. 5. 이전 1 다음