Question 2. Implement a Support Vector machine.

Suggest a classification problem of your choice for which data is available (Can be the same as Question1) and solve it using Support Vector Machines. Implement your solution on a tool of your choice (R, Weka, Matlab...etc.).

The submission should contain: 3. Description of the solution:

Brief description of the problem

Discuss the required preprocessing.

Select your kernel function and justify

4. Provide screen shots explaining the steps towards the solution

SVM creation and configuration

Preprocessed data(if applicable)

Accuracy of the solution

Potential data source

https://international.ipums.org

Helpful Material

https://www.youtube.com/watch?v=Gw5s3yYVQAE

https://www.youtube.com/watch?v=mo2dqHbLpQo Helpful Material

https://www.youtube.com/watch?v=WVkD-jURBDg https://www.youtube.com/watch?v=ueKqDlMxueE