This repo includes Binomial Logistic Regression project of Bank Data. The tools used in both use cases are pandas, matplotlib, seaborn, sklearn. Insights: It appears that there is an imbalance in the classes, meaning one class may be significantly more prevalent than the other. The count of "no" (clients who did not subscribe to a term deposit) seems to be higher than the count of "yes" (clients who subscribed to a term deposit).