May 2020
Intermediate to advanced
404 pages
10h 52m
English
Content preview from Hands-On Python Deep Learning for the Web
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Splitting the dataset into train and test parts
Since we have a single dataset, we will break it into two parts, with the feature and label parts separated:
X_train, X_valid, y_train, y_valid = train_test_split(data['Text'], df['ProductId'], test_size = 0.2)
We will use the train_test_split() method from the sklearn module to split the dataset into 80% for training and 20% for testing.
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