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To segment a population based on attributes, use clustering algorithms like k-means or hierarchical clustering.
Identify relevant attributes such as age, income, education level, etc.
Normalize the data to ensure all attributes are on the same scale.
Choose a clustering algorithm based on the size of the dataset and the desired number of segments.
Evaluate the results using metrics like silhouette score or within-cluster s...
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I applied via Walk-in and was interviewed in Mar 2022. There was 1 interview round.
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