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Results tagged with feature-engineering
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user 45264
the process of using domain knowledge of the data to create features that improve machine learning algorithms
6
votes
Accepted
Is this a good practice of feature engineering?
If you can keep adding new data (based on a main concept such as area i.e. the ZIP code) and the performance of your model improves, then it is of course allowed... assuming you only care about the fi …
- 15.1k
2
votes
Accepted
Imputation missing values other than using Mean, Median in python
So if you want to impute some missing values, based on the group that they belong to (in your case A, B, ...), you can use the groupby method of a Pandas DataFrame. So make sure your data is in one of …
- 15.1k
5
votes
Accepted
Why does removal of some features improve the performance of random forests on some occasions?
A basic decision tree is pruned to reduce the likelihood of over-fitting to the data and so help to generalise. Random forests don't usually require pruning because each individual tree is trained on …
- 15.1k
3
votes
Python Time series: extracting features on a rolling window basis
Yes, there are easy ways to do this in Python. My favourite would be to put the data into a Pandas DataFrame, which has a convenient method called rolling that will cycle over your data in a given fra …
- 15.1k