Odeyale Kehinde | An Enhanced Malware Detection Model in Android Devices using Machine Learning Algorithms

Odeyale Kehinde

Based in Kwara, Nigeria

About

A bright, talented and self-motivated data scientist who has excellent organizational skills, is highly efficient and has a good eye for detail. Has experience of assisting in the creating Machine Learning Models and analytical techniques. Able to play a key role in analytical problems and come up with creative solutions as well as producing methodologies and files for effective data management. A quick learner who can absorb new ideas and can communicate clearly and effectively.

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An Enhanced Malware Detection Model in Android Devices using Machine Learning Algorithms

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About this project

Using Malware datasets, the effectiveness of several well-known machine learning classifiers, including SVM, NB, ANN and DT, The results showed that the ensemble voting for all the algorithms used performed well in terms of accuracy, precision score, recall, and F1 score.