• We detect the CC fraud detection using machine learning algorithms. • Dataset contains a 8,00,000 data points we need to split the data points (80%‑Train) and (20%‑Test) data. • Perform Machine Learning and Nature Inspired Algorithms on the data. • WhereNature Inspired Algorthims for Feature Selection which can reduce data points. • Before applying Feature Selection Accuracy ‑ 76%. • After applying Feature Selection Accuracy ‑ 98%.