Explain some of the useful functions provided by R which can perform vector operations.
Let us assign the following vectors v
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Let us assign the following vectors v
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Many deep learning techniques are used in NER, some of which are very popular and there is a reason behind that. One such technique is LSTM…
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Following are the list of annotations with their descriptionThese are the annotations with their descriptions like text, label, start, end, character…
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We will import the libraries
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Normalization scales the numeric feature variables in the range of 0 to 1.To implement normalization using Python, we can use the iris dataset.
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We can import the following model
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Here the error is due to the different shapes of train and test data of the feature variables. In test data,
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The error is due to the presence of categorical variables in the dataset. We cannot use names of categories directly as features in logistic…
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There are many tuning parameters in machine learning algorithms but GridSearch is one of the best tuning parameters considered for classification of…
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The following error is due to fitting a logistic and SVM model to a continuous variable. Logistic, SVM and MLP models are for classification purposes…
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Random splitting is a splitting technique which splits the data based on a ratio by selecting random attributes irrespective of the classes.
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Concatenation is joining two datasets either horizontally or vertically. Merging is merging two or more datasets based on a common column
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