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The class is too big and not the same format as the new feature engineering pipeline:
- [ ] Update Automatic Feature Engineering class to new format
- [ ] Update Tutorial
- [ ] Update docs
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Script should preprocess the data and apply relevant feature engineering technique seen in class
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Facial Landmarks Feature Extraction for Fake Images
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### Description
create a comprehensive tutorial on feature engineering to help both new and experienced team members understand and apply this crucial aspect of our data science work.
### Tasks
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### Feature type
Debugging
### Describe the feature
![x32](https://github.com/user-attachments/assets/063948ba-6c50-4100-a562-071c6d6ab175)
I’m encountering an issue where `00401232 FF25 A0104000 …
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Create an object to make feature engineering easy. For example, this class should allows to add polynomial or logarithmic combinations of features easily, possibly according to a certain criteria. It …
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### Overview
We need to assess the remaining items for pre-launch and outline post-launch plans for the 311-data application.
### Action Items
- [ ] System Architecture Documentation - [here]…
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GLM generally requires the most feature engineering because it builds a linear model. This request is to perform the common feature engineering as a pre-processing step to train GLM when running it i…