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@ -4,7 +4,7 @@ from sklearn.model_selection import train_test_split
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import pandas as pd
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import subprocess
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subprocess.run(["kaggle", "datasets", "download", "muhammadbinimran/housing-price-prediction-data", "--unzip"])
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# subprocess.run(["kaggle", "datasets", "download", "muhammadbinimran/housing-price-prediction-data", "--unzip"])
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housing_price_dataset = pd.read_csv('housing_price_dataset.csv')
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hp_train_test, hp_dev = sklearn.model_selection.train_test_split(housing_price_dataset, test_size=0.1)
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housing_price_dataset.csv
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50001
housing_price_dataset.csv
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