When doing linear regression in jupyter how does one determinewhat columns to drop?
Answer
When doinglinear regression in jupyter how does one determine what columns todrop?
Which columns to drop:
● Those randomlygenerated field or column for only purpose is uniqueidentification.
● Those who leaksthe data or information from the future.
● Those who containredundant data or information that means which are already includedin the other column.
● Those whorequires lot of processing and some other data and information tobe elected as potentially useful column.
● Those whocontains two many unique values which are occurring only once. Alsodrop the column which
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