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Nov 20th, 2017
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  1. import matplotlib.pyplot as plt
  2. import pandas as pd
  3.  
  4. dataset = pd.read_excel('C:data.xlsx')
  5. X = dataset.iloc[:, 56:112]
  6. y = dataset.iloc[:, 113]
  7.  
  8. from sklearn.cross_validation import train_test_split
  9. X_train, X_test , y_train , y_test = train_test_split(X, y, test_size=0.2 ,
  10. random_state=42)
  11.  
  12. from sklearn.preprocessing import StandardScaler
  13. sc = StandardScaler()
  14. X_train = sc.fit_transform(X_train)
  15. X_test = sc.transform(X_test)
  16.  
  17. from sklearn.linear_model import LogisticRegression
  18. classifier = LogisticRegression(random_state=0)
  19.  
  20.  
  21.  
  22. classifier.fit(X_train, y_train)
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