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#SingleInstance Force | |
round(volume) { | |
if (volume > 42 and volume < 57) { | |
return 50 | |
} else { | |
return volume | |
} | |
} |
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Windows Registry Editor Version 5.00 | |
[HKEY_CLASSES_ROOT\.] | |
@="emptyFile" | |
[HKEY_CLASSES_ROOT\.\ShellNew] | |
"NullFile"="" | |
@="Empty File" | |
"ItemName"="" | |
"IconPath"="C:\\windows\\system32\\imageres.dll,2" |
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import pandas as pd | |
import numpy as np | |
from sklearn.preprocessing import LabelEncoder | |
from sklearn.model_selection import train_test_split | |
from sklearn.linear_model import LogisticRegression | |
# combine train and test data because usually the data will not be split | |
# df = pd.read_csv('data/train.csv').append(pd.read_csv('data/test.csv')).to_csv('data/titanic.csv', index=False) |