maryngu00/projects

Final Project materials and description.

Projects

Materials and outlines for the Final Project for COGS108.

Carefully read through all the details you'll need to know for your COGS108 Final Project.

• Option 1: Group (pdf here)
• Option 2: Individual (pdf here)

Project Schedule

Project Proposal

Due Friday, Oct 23 (11:59 PM)

Final Project

Due Wed, Dec 16 (11:59 PM) - Finals Week

Project Templates

Option 1: Group Project

• Proposal
• Final Project

Option 2: Individual Project

• Proposal
• Final Project

Final Project Checklist

Students often ask for a rubric. You can use this checklist to help guide your thinking on the final project. If you check off all the boxes below, you should be in good shape to get a perfect score on your final project.

Overview, Question & Background

Overview:

• Write a clear summary of what you did
• Briefly describe the results of your project
• Limit overview to 3-4 sentences

Research Question:

• Include a specific, clear data science question
• Make sure what you're measuring (variables) to answer the question is clear

Background & Prior Work:

• Include a general introduction to your topic
• Include explanation of what work has been done previously
• Include citations or links to previous work

Hypothesis:

• Include your team's hypothesis
• Ensure that this hypothesis is clear to readers
• Explain why you think this will be the outcome (what was your thinking?)

Dataset(s):

• Include an explanation of dataset(s) used (i.e. features/variables included, number of observations, information in dataset)
• Source included (if outside dataset(s) being used)

Data Analysis:

<<<<<<< HEAD Data Cleaning & Pre-processing:

• Perform Data Cleaning and explain steps taken OR include explanation as to why data cleaning was unnecessary (how did you determine your dataset was ready to go)
• Dataset is actually clean and usable after data wrangling steps carried out ======= Data Cleaning & Pre-processing
• Perform Data Cleaning and explain steps taken OR include an explanation as to why data cleaning was unnecessary (how did you determine your dataset was ready to go)
• Dataset actually clean and usable after data wrangling steps carried out

542161c7326dcf0862e28bf4adb1630bdfbc0ce5

Data Visualization:

• Include at least three visualizations
• Clearly label all axes on plots
• Type of all plots appropriate given data displayed
• Interpretation of each visualization included in the text

Data Analysis & Results:

• EDA carried out with explanations of what was done and interpretations of output included
• Appropriate analysis performed
• Output of analysis interpreted and interpretation included in notebook

Privacy/Ethics Considerations:

• Thoughtful discussion of ethical concerns included
• Ethical concerns consider the whole data science process (question asked, data collected, data being used, the bias in data, analysis, post-analysis, etc.)

Conclusion & Discussion:

• Clear conclusion (answer to the question being asked) and discussion of results
• Limitations of analysis discussed
• Does not ramble on beyond providing necessary information

Final Checks:

• Edit all text for clarity
• Remove all instructions
• Check to make sure all text and images are visible
• Names and IDs included
• Renamed file :
  • Option 1: FinalProject_groupXX.ipynb, where 'XX' is replaced by your group's group number
  • Option 2: FinalProject_GH.ipynb, where 'GH' is replaced by your GitHub Username