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Extract basic features from time series data and reasonably past, possibly using some parallelization.
Jswig updated
5 years ago
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Feature Engineering and Model Enhancement: Develop a pipeline that includes a dimensionality reduction or feature selection technique or a combination of both approaches as a prior step to classificat…
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## Feature engineering
```
def D_H_L_mapping(train = None, test = None):
person_prefer_d_1_l = train.groupby('person_prefer_d_1_l')['target'].mean()
train['person_prefer_d_1_l'] = train[…
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We already have good encoding for categ features.
So what else do we want/need?
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Hi,
I am trying to run this piece of code :
```
# Import function
from automotive_feature_engineering import static
# Execute the static method
results = static(df_train, df_test, model =…
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https://docs.google.com/document/d/1sJEgsDWWCUF9XfZXo-Qwk-Y1Mzk-Rs5QsAqwERFBCIg/edit?ts=607d5d5d
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Add more (north) european birds
what are the 20-30 most common birds in Germany
what are your birds called in English
are these birds already in the dataset (train, valid & test)
add more pictures
i…
xEgle updated
2 years ago
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2nd week feature engineering
- [x] Season
- [x] Hour
- [x] Naive Operation mode
- [x] Direction
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Simple features:
- [x] Weather - related fields
- [x] Load - Holidays, etc.
- [x] Wind - wind force, wind direction
- [x] Draft
- [x] Current
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**Issue Description**
For the pilot POA requests feature, there will be a landing page displaying POA requests. Design worked on this last Sprint focusing on coming up with an approach to search/filte…