<jupyter_start><jupyter_text><jupyter_code>from google.colab import files
uploaded = files.upload()
!unzip /content/house-prices-advanced-regression-techniques.zip
import pandas as pd
import numpy as np
train = pd.read_csv('/content/train.csv')
test = pd.read_csv('/content/test.csv')
train.head()
test.head()
x_train = train.drop( ['SalePrice'], axis=1) 
y_train = train['SalePrice']
x_train<jupyter_output><empty_output>
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{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '24204', 'license': 'MIT', 'n_tokens_mistral': 159, 'n_tokens_neox': 157, 'n_words': 29, 'path': 'KaggleRealEstate.ipynb', 'repo_name': 'nealonleo9/KaggleComp', 'size': '426'}