change data to test file
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@ -7,7 +7,7 @@ from sklearn.metrics import mean_squared_error as rmse
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reg = LinearRegression()
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reg = LinearRegression()
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alldata = pd.read_csv(
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alldata = pd.read_csv(
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'country_vaccinations.csv', header=0, skipinitialspace=True,
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'test.csv', header=0, skipinitialspace=True,
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usecols=['total_vaccinations', 'people_vaccinated', 'daily_vaccinations' ,'daily_vaccinations_per_million']).dropna()
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usecols=['total_vaccinations', 'people_vaccinated', 'daily_vaccinations' ,'daily_vaccinations_per_million']).dropna()
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X = alldata[[c for c in alldata.columns if c != 'daily_vaccinations']]
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X = alldata[[c for c in alldata.columns if c != 'daily_vaccinations']]
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