How many topics text data has using clustering algorithms
Problem: Describe in non-mathematical ways how you would determine how many topics your text data contains using clustering algorithms.
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To do so, they need a current listing of the department managers to contact. For this query, the HR department needs the department name
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Why is it important to explore data before executing any DM algorithms? What can go wrong? What can be discovered in an exploratory analysis?
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Describe in non-mathematical ways how you would determine how many topics your text data contains using clustering algorithms.
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In this task, you will design a microservice model for the above scenario using the Domaindriven design (DDD) method.
Write a function in SML that takes in an integer and a pair of lists. The first list is a list of integers and the second list is a list of booleans.
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