Motivation

• What is your dataset?
• Why did you choose this/these particular dataset(s)?
• What was your goal for the end user's experience?

Basic stats. Let's understand the dataset better

• Write about your choices in data cleaning and preprocessing
• Write a short section that discusses the dataset stats (here you can recycle the work you did for Project Assignment A)
• Theory. Which theoretical tools did you use?

Describe which machine learning tools you use and why the tools you've chosen are right for the problem you're solving.

• Talk about your model selection. How did you split the data in to test/training. Did you use cross validation?
• Explain the model performance. How did you measure it? Are your results what you expected? # Visualizations
• Explain the visualizations you've chosen.
• Why are they right for the story you want to tell? # Discussion. Think critically about your creation
• What went well?,
• What is still missing? What could be improved?, Why?