Update 'process_dataset.py'
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@ -3,7 +3,7 @@ import numpy as np
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from sklearn.model_selection import train_test_split
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# usuwamy przy okazji puste pola
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lego = pd.read_csv('lego_sets.csv').dropna()
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lego = pd.read_csv('lego_sets.csv', engine='python').dropna()
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# list_price moze byc do dwoch miejsc po przecinku
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lego['list_price'] = lego['list_price'].round(2)
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