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Update Day 13 SVM.md (Avik-Jain#16)
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Code/Day 13 SVM.md

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@@ -25,7 +25,7 @@ X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25, rand
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from sklearn.preprocessing import StandardScaler
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sc = StandardScaler()
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X_train = sc.fit_transform(X_train)
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X_test = sc.transform(X_test)
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X_test = sc.fit_transform(X_test)
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```
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## Fitting SVM to the Training set

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