Credit Score Exploratory Data Analysis
This project explored a Kaggle credit-score classification dataset to understand the structure, quality, and predictive signal in consumer financial attributes before modeling.
Analytics focus
The work emphasized exploratory data analysis: identifying feature distributions, missing values, category behavior, potential leakage, and the relationships between financial variables and credit-score classes.
Why it matters
Credit scoring is a high-stakes analytics domain. Even an exploratory notebook needs to be careful about data quality, class definitions, fairness implications, and whether the dataset is suitable for reliable modeling.
Repository
The public repository is available at Credit_Score_EDA. It is best presented as a notebook-based EDA project rather than a production credit model.