Here’s a summary of your learnings in the last two segments:
- You understood the importance of PCA in model building. Essentially before you build any model, you perform PCA to reduce its dimensionality.
- This results in a smaller dataset with uncorrelated features – thereby leading to faster execution and a much more stable model.
- You observed that performing PCA and then doing the actual model greatly improves its efficiency and also does that without any iterative procedures.