I need help with questions below

1. A major earthquake hit a large metropolitan area with over 5 million citizens. In addition to the local residents affected, an international sports event with thousands of participants and family members along with a global summit were severely affected by the earthquake. Multiple infrastructure elements collapsed (residences, buildings, bridges, etc). There are a large number of casualties. You are tasked to develop a tool to identify the victims.

Identify data needs a. Identify potential data sources (assume that you will use R to develop the models) b. Identify data manipulation/cleaning requirements c. Identify the most important attributes needed or attributes that you don’t need d. Identify the target attribute and how it will be determined Modeling a. Which machine learning tool would you recommend to develop the model? Explain b. What are the limitations of your recommendation? c. What are the risks? d. Discuss any elements that could improve the reliability or accuracy of the model

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a. The data needs are the number of casualties which can be categorized into two (“casualty”, “no casualty”), and the casualties are supposed to be in these categories; women, children, and men. Also, the depth and the magnitude of the

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