Pd Get Dummies
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
Pd Get Dummies has 7 facts recorded in Dontopedia across 2 references.
Mostly:rdf:type(1), encodes categorical features(1), applied to(1)
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raw canonical shape-checked rule-derived certifiedInbound mentions (1)
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callsFunctionCalls Function(1)
- Code Snippet 1
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Other facts (7)
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| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Python Function | [1] |
| Encodes Categorical Features | true | [1] |
| Applied to | X | [1] |
| Encodes Column | User Id | [1] |
| Technique | One Hot Encoding | [1] |
| Modifies | X | [1] |
| Used for | Categorical to Numerical Conversion | [2] |
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References (2)
ctx:claims/beam/81c3e7f7-3222-4d10-a27e-9c8239a3072a- full textbeam-chunktext/plain1 KB
doc:beam/81c3e7f7-3222-4d10-a27e-9c8239a3072aShow excerpt
from sklearn.model_selection import train_test_split from sklearn.ensemble import RandomForestClassifier # Prepare the data for training X = df[['hour', 'day_of_week', 'user_id']] y = df['query'] # Encode categorical features X = pd.get_d…
ctx:claims/beam/73e89087-b607-4f8e-8f21-44e5e8aeccf8- full textbeam-chunktext/plain935 B
doc:beam/73e89087-b607-4f8e-8f21-44e5e8aeccf8Show excerpt
# Alternatively, fill numerical columns with the mean numerical_columns = ['column1', 'column2'] log_data[numerical_columns] = log_data[numerical_columns].fillna(log_data[numerical_columns].mean()) # Normalize data scaler = MinMaxScaler() …
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