diff --git a/data_processing.py b/data_processing.py index adb9b42..9f43108 100644 --- a/data_processing.py +++ b/data_processing.py @@ -4,7 +4,7 @@ from sklearn.model_selection import train_test_split import pandas as pd import subprocess -subprocess.run(["kaggle", "datasets", "download", "muhammadbinimran/housing-price-prediction-data", "--unzip"]) +# subprocess.run(["kaggle", "datasets", "download", "muhammadbinimran/housing-price-prediction-data", "--unzip"]) housing_price_dataset = pd.read_csv('housing_price_dataset.csv') hp_train_test, hp_dev = sklearn.model_selection.train_test_split(housing_price_dataset, test_size=0.1) diff --git a/housing_price_dataset.csv b/housing_price_dataset.csv new file mode 100644 index 0000000..4d4443a --- /dev/null +++ b/housing_price_dataset.csv @@ -0,0 +1,50001 @@ +SquareFeet,Bedrooms,Bathrooms,Neighborhood,YearBuilt,Price +2126,4,1,Rural,1969,215355.28361820139 +2459,3,2,Rural,1980,195014.22162584803 +1860,2,1,Suburb,1970,306891.0120763329 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