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Could you please provide raw logs and share method of feature engineering ?
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- price*asset transformation
- for each age, the user activity in relation w.r.t that group
- for each user, the sub class of item bought (count or only ones)
- for each user, the sum of prices/assets…
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Additional features-
- cluster ids for user and question
Can we normalise features?
Below might help too, but can be overfitting -
- Number of words in each user/Question
- Number of characters in…
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Right now Every Compat does not recognize "Treated Wood Planks" as a wood type (because it does not have a log). It would be nice to get the plank variant items that do not involve logs to generate.
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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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### 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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We already have good encoding for categ features.
So what else do we want/need?
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Extract basic features from time series data and reasonably past, possibly using some parallelization.
Jswig updated
5 years ago