: A classic resource for academic and professional datasets.
: Use StandardScaler or MinMaxScaler to ensure numerical features (like "Income" or "Age") are on a similar scale. 900k_USA_dump.txt
: Offers thousands of structured datasets (CSV, JSON) for tasks like credit scoring, housing prices, or demographic analysis. : A classic resource for academic and professional datasets
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: JSON) for tasks like credit scoring
: Provides extensive, anonymized USA demographic data for feature engineering. How to Prepare Features for a Standard Dataset
If you transition to a legitimate dataset, here is the standard workflow for preparing features:
: Handle missing values by using imputation (mean/median) or dropping incomplete rows.