You have been asked to help one of the data analysts who is working in your team. The data analyst has all the right data in place and upon exploring the data, you find out that there are lots of missing values. What are some of the ways you would use to address this problem? Please explain the merits and demerits of each approach? Do you think that the strategies you are using to tackle this issue are related to the ways you will use to feed your data to a specific algorithm to build a statistical/machine learning/deep learning model? Why or Why not?

You have been asked to help one of the data analysts who is working in your team. The data analyst has all the right data in place and upon exploring the data, you find out that there are lots of missing values. What are some of the ways you would use to address this problem? Please explain the merits and demerits of each approach? Do you think that the strategies you are using to tackle this issue are related to the ways you will use to feed your data to a specific algorithm to build a statistical/machine learning/deep learning model? Why or Why not?

Principles of Information Systems (MindTap Course List)

13th Edition

ISBN:9781305971776

Author:Ralph Stair, George Reynolds

Publisher:Ralph Stair, George Reynolds

Chapter9: Business Intelligence And Analytics

Section: Chapter Questions

Problem 1CE

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Computer Science

What are some of the ways you would use to address this problem?

Please explain the merits and demerits of each approach?

Do you think that the strategies you are using to tackle this issue are related to the ways you will use to feed your data to a specific algorithm to build a statistical/machine learning/deep learning model? Why or Why not?

Process or set of rules that allow for the solving of specific, well-defined computational problems through a specific series of commands. This topic is fundamental in computer science, especially with regard to artificial intelligence, databases, graphics, networking, operating systems, and security.

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