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I need an actual proposal to outline a problem that you want to solve and how you will use data mining techniques to solve it.
I need an actual proposal to outline a
problem that you want to solve and how you will use data mining techniques to solve it. A
business problem from your work would be a likely candidate but it doesn't have to be directly
related to your work. The key is that this should not be a hypothetical example like something
from the textbook, it should be something with which you have personal experience.
The draft of your proposal should include:
1. A description of the problem you want to support with a data science solution
2. Why the problem you selected can be solved with predictive modeling
3. The use you want to support with this solution and how it could add value to an
organization
4. A description of the model and data mining techniques that will be used and why they
are appropriate given the problem at hand. If doing supervised learning the target
variable should be clear.
5. How and where you would get the data required to train your model. This should also
include at least 5 attributes that would help your predictive modeling.
Note that you are not required to find real data nor perform any data analysis for this project,
but you should write your proposal as if this were the start of a real project you were considering
undertaking. When writing your proposal, consider the steps of the CRISP-DM process to help
guide your thinking.
problem that you want to solve and how you will use data mining techniques to solve it. A
business problem from your work would be a likely candidate but it doesn't have to be directly
related to your work. The key is that this should not be a hypothetical example like something
from the textbook, it should be something with which you have personal experience.
The draft of your proposal should include:
1. A description of the problem you want to support with a data science solution
2. Why the problem you selected can be solved with predictive modeling
3. The use you want to support with this solution and how it could add value to an
organization
4. A description of the model and data mining techniques that will be used and why they
are appropriate given the problem at hand. If doing supervised learning the target
variable should be clear.
5. How and where you would get the data required to train your model. This should also
include at least 5 attributes that would help your predictive modeling.
Note that you are not required to find real data nor perform any data analysis for this project,
but you should write your proposal as if this were the start of a real project you were considering
undertaking. When writing your proposal, consider the steps of the CRISP-DM process to help
guide your thinking.
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