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PCA Assignment:

Complete the notebook linked here

Requirements:

1. Split Data
2. EDA (Show us your opinion of the 2 best plots explaining the most important insights in the data).
   1. Plots Require:
      1. A short explanation of why it is important as if you were explaining it to someone who has never seen the plot before and is unfamiliar with the data.
      2. Legend
      3. Axis Labels
      4. Title
3. Determine Baseline Model
4. Scale Data
5. Create Logistic Regression Model
6. Compare Results to Baseline
7. Perform PCA
8. Create a Scree Plot
9. Use Your Principal Components for a Logistic Regression Model
10. Compare Results to Baseline and previous Logistic Regression Model without PCA and provide an explanation of what the results mean and the point of PCA

Advanced Assignmenment Option:

1. How would you explain PCA to someone who is not technical?

2. Can PCA be used for anything else besides dimensionality reduction?

Perform some research to answer these questions in your notebook.