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21 lines
1.0 KiB
Markdown
21 lines
1.0 KiB
Markdown
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# Statistical-Learning-Project
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# Exam
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The exam consists in two assignments, one on the first part(regression, tree, neural nets) and the second part (unsupervised learning). For both you must prepare a writing report using one or more techniques and comparing their performance on one or more data set chosen by the student. A brief oral presentation of the reports will be asked.
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Each report must contain:
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- short **abstract**: what are your going to present in the report
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- **statement** of the problem/**goal** of the analysis and description of the **data set**(s)
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- list of three to five **findings/keypoints**
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- the analysis with **wise** commentary
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- (optional) theoretical background of the used methods
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- **conclusions**(should include the findings/keypoints)
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- the **Appendix**, containing all the R code
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Notice:
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- The **paper length** is irrelevant provided that the content is correct.
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- **No R code in the main text**. The R code must be confined to the appendix
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- The report should be prepared in **PDF** only
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