WEB BROWSERS TECHNOLOGY
THE INTERNET
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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It can be sent faster
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It is less likely to get lost
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It will never get lost
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None of the above
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Detailed explanation-1: -Data splitting is an important aspect of data science, particularly for creating models based on data. This technique helps ensure the creation of data models and processes that use data models–such as machine learning–are accurate.
Detailed explanation-2: -Split is another useful tool to manage the volume of your data. If your business prefers to start on a fresh note every financial year, then you can split your data and maintain a fresh batch every year.
Detailed explanation-3: -You should do splitting after EDA. EDA includes pre-processing of data like missing values, outliers, scaling changing variables, etc after that only do spiltting. as soon as when new test data arrive it should mandatory pass through all the preprocess data preparation step as you have done for data before splitting.
Detailed explanation-4: -In many cases, it may be best to split information into multiple related tables, so that there is less redundant data and fewer places to update.