Use this template to submit your work for the peer-review session. A fellow student will use this to give feedback on your work.
Make sure to submit your work before the deadline (8 March 2019) so that your fellow students have sufficient time to read and review your work.
Use the sections below to provide some background on your project and initial considerations about your intended analysis.
Your project title:
Your name:
Problem context: Which problem does your project address?
(write no more than 100 words)
Your idea: What is the new/unique approach that you are using in your project?
(write no more than 100 words)
How will you obtain the data?
(write no more than 100 words)
Provide bullet points about your analysis pipeline
(use bullet points to state which pre-processing steps you use, which data exclusions you use, etc.)
LEAVE THIS BLANK FOR THE PEER-REVIEWER
Note for the peer-reviewer:
In your feedback, include at least the following aspects:
- Is the research question clear?
- Is clear which data are used and how the data are otained?
- Is clear why this data source is used?
- Are there clear considerations about the analytical plan?
- Does the plan contain at least 2 of the 3 data science blocks that were covered in this module (webscraping/APIs, text mining/text analysis, machine learning)?
- Which advice would you give your fellow student?
- Are there any pitfalls to this project?
- What would you do differently?
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