For problem sets with just nominal feature sets, vector space classification algorithms often fail. What are your thoughts on the statement? How would you use ML to categorise nominal data? Answer the questions above in detail.

For problem sets with just nominal feature sets, vector space classification algorithms often fail. What are your thoughts on the statement? How would you use ML to categorise nominal data? Answer the questions above in detail.

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Quantities that have magnitude and direction but not position. Some examples of vectors are velocity, displacement, acceleration, and force. They are sometimes called Euclidean or spatial vectors.

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