Android malware sample library.

Developed an Android malware detection tool utilizing machine learning techniques, achieving 92% accuracy in identifying malicious applications by comparing app features against a dataset of 3,500 samples. • We used libraries i.e, numpy ,sklearn, pandas, matplotlib, seaborn in this project