: A classic resource for academic and professional datasets.
: Provides extensive, anonymized USA demographic data for feature engineering. How to Prepare Features for a Standard Dataset 900k_USA_dump.txt
: Create new variables, such as calculating "Years of Credit History" from "Account Open Date." : A classic resource for academic and professional datasets
: Offers thousands of structured datasets (CSV, JSON) for tasks like credit scoring, housing prices, or demographic analysis. JSON) for tasks like credit scoring
If you transition to a legitimate dataset, here is the standard workflow for preparing features:
: Use One-Hot Encoding for nominal data (e.g., "State") or Label Encoding for ordinal data.
: Handle missing values by using imputation (mean/median) or dropping incomplete rows.
