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One\nof the reasons for this popularity is the free third-party applications that are downloaded and installed and\nprovide various types of benefits to the user. Unfortunately, this flexibility of installing any application\ncreated by third parties has also led to an endless stream of constantly evolving malware applications that\nare intended to cause harm to the user in many ways.\nIn this project, different approaches for tackling the problem of Android malware detection are presented\nand demonstrated. The data analytics of a real-time detection system is developed. The detection system\ncan be used to scan through installed applications to identify potentially harmful ones so that they can be\nuninstalled. This is achieved through machine learning models.\nMost Important Machine Learning algorithms are applied on the andorid mapplication datasets and then we get to predict as detect android application contains malwares or no malwares. \n\n### Need Code, Documents \u0026 Explanation video ? \n\n## How to Reach me :\n\n### Mail : vatshayan007@gmail.com \n\n### WhatsApp: **+91 9310631437** (Helping 24*7) **[CHAT](https://wa.me/message/CHWN2AHCPMAZK1)** \n\n### Website : https://www.finalproject.in/\n\n### 1000 Computer Science Projects : https://www.computer-science-project.in/\n\nMail/Message me for Projects Help 🙏🏻\n\n### Another Malware Project  : https://github.com/Vatshayan/Malware-Detection-Using-Deep-Learning-Project\n\n### Youtube brief of Project : https://youtu.be/Qfrshjn38JY\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvatshayan%2Fandroid-malware-detection-using-machine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvatshayan%2Fandroid-malware-detection-using-machine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvatshayan%2Fandroid-malware-detection-using-machine-learning/lists"}