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?

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