선형회귀2 기온에 따른 지면 온도 예측 # df에 데이터 프레임으로 불러오기 import numpy as np import pandas as pd import seaborn as sns import matplotlib.pyplot as plt temp_df = pd.read_csv('/content/drive/MyDrive/KDT/머신러닝과 딥러닝/data/temps.csv',encoding='ms949') temp_df.info() RangeIndex: 8782 entries, 0 to 8781 Data columns (total 5 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 지점 8782 non-null int64 1 지점명 87.. 2024. 1. 8. 선형 회귀(랜트비 예측) 1. 데이터 전처리 import numpy as np import pandas as pd import seaborn as sns rent_df = pd.read_csv('/content/drive/MyDrive/KDT/머신러닝과 딥러닝/data/rent.csv') rent_df.info() RangeIndex: 4746 entries, 0 to 4745 Data columns (total 12 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 Posted On 4746 non-null object 1 BHK 4743 non-null float64 2 Rent 4746 non-null int64 3 Si.. 2023. 12. 26. 이전 1 다음