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Principles of Data Science

Chapter Review

Principles of Data ScienceChapter Review
1.
You are working with a dataset containing information about customer purchases at an online retail store. Each data point represents a customer and includes features such as age, gender, location, browsing history, and purchase history. Your task is to segment the customers into distinct groups based on their purchasing behavior in order to personalize marketing strategies. Which of the following machine learning techniques is best suited for this scenario?
  1. linear or multiple linear regression
  2. logistic or multiple logistic regression
  3. k-means clustering
  4. naïve Bayes classification
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