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### Abstract :
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Android is the world's most popular and widely used operating system for mobile smartphones today. One
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of the reasons for this popularity is the free third-party applications that are downloaded and installed and
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provide various types of benefits to the user. Unfortunately, this flexibility of installing any application
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created by third parties has also led to an endless stream of constantly evolving malware applications that
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are intended to cause harm to the user in many ways.
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In this project, different approaches for tackling the problem of Android malware detection are presented
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and demonstrated. The data analytics of a real-time detection system is developed. The detection system
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can be used to scan through installed applications to identify potentially harmful ones so that they can be
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uninstalled. This is achieved through machine learning models.
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Most 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.
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