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1. feature scaling - ext, int
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- Generic:
- [x] dates, #212;
- [x] similar names, #213;
- [x] similar links, as per baseline strategy, #312 ;
- [x] string kernels, #174;
- [x] Wikidata QIDs, #229 ;
- [ ] places;
- target-spe…
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![feature engineering](https://user-images.githubusercontent.com/5119282/39813401-f1c34132-53ad-11e8-9886-6093d77b4faf.png)
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- [x] I1. Average female ratio metrics per merchant
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https://www.kaggle.com/nroman/engineering-display-features-updated display-features
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It seems like FLAML does some auto feature engineering for the user. It would be useful if this was documented so that I know how much or little data preprocessing I need to do before training my mode…
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# Goal
As a developer, I want to add features to the existing machine learning model (XGBoost), so that I can develop a more accurate machine learning model.
# Consider
1. Consider using Cryptocurr…
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Continue the exploratory data analysis, perform feature engineering, add sentiment analysis-based features
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