900k_usa_dump.txt -

: Offers thousands of structured datasets (CSV, JSON) for tasks like credit scoring, housing prices, or demographic analysis.

If you transition to a legitimate dataset, here is the standard workflow for preparing features: 900k_USA_dump.txt

: Handle missing values by using imputation (mean/median) or dropping incomplete rows. : Offers thousands of structured datasets (CSV, JSON)

: A classic resource for academic and professional datasets. JSON) for tasks like credit scoring

: Use StandardScaler or MinMaxScaler to ensure numerical features (like "Income" or "Age") are on a similar scale.

If you are working on a legitimate data science project and need to practice feature engineering, I recommend using verified, public datasets. Here are a few safe alternatives: