- Make code robust and reproducible, if column names change later can you still handle it.
- Use R functions for column querying starts_with(), ends_with(), contains() makes the query more robust, harder to break downstream.
- Avoid using numeric column indexing as order of columns may change
- Avoid redundancy in code and comments
- If want to make file a bit shorter, can avoid inline images, use script to generate images instead.
- Make sure the logic matches the coding comment and function signature
Wednesday, April 3, 2019
Kaggle Live-Coding: Code Reviews! | Kaggle
from sklearn.preprocessing import LabelEncoder from sklearn.preprocessing import StandardScaler from sklearn.compose import ColumnTransfo...
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