1. Feature selection and modeling
In this final section, you'll select which features to use for modeling and you'll model the processed UFO data in different ways.
2. Feature selection and modeling
We need to do a little bit of feature selection before we model this data. Keep in mind that you want to eliminate redundant features, and there are a couple of candidates for that in this dataset, both in its original form and due to feature engineering. We also have a text vector that we can inspect and eliminate words from. As far as modeling goes, you've had plenty of practice with it, and now you get to see the results of your preprocessing work.
3. Final thoughts
And finally, remember that preprocessing and modeling are often iterative practices, and it might take a few tries to find the ideal feature configuration that improves your model's performance. It also helps to be extremely knowledgeable about the dataset that you're working with, as well as having a good understanding of the model you're trying to build.
4. Let's practice!
Let's model the UFO dataset!