{"id":17131,"date":"2024-03-22T15:17:17","date_gmt":"2024-03-22T15:17:17","guid":{"rendered":"https:\/\/www.writemyessays.app\/blog\/questions\/conduct-classification-to-answer-the-first-question-and-regression-to-answer-the-second\/"},"modified":"2024-03-22T15:17:17","modified_gmt":"2024-03-22T15:17:17","slug":"conduct-classification-to-answer-the-first-question-and-regression-to-answer-the-second","status":"publish","type":"questions","link":"https:\/\/www.writemyessays.app\/blog\/questions\/conduct-classification-to-answer-the-first-question-and-regression-to-answer-the-second\/","title":{"rendered":"conduct Classification to answer the first question and Regression to answer the second."},"content":{"rendered":"

This is a Women\u2019s Clothing E-Commerce dataset revolving around the reviews written by customers. Its nine supportive features offer a great environment to parse out the text through its multiple dimensions. Because this is real commercial data, it has been anonymized, and references to the company in the review text and body have been replaced with \u201cretailer\u201d.<\/p>\n

This dataset includes 23486 rows and 10 feature variables. Each row corresponds to a customer review, and includes the variables:<\/p>\n