With more than 2 billion active users, the Google Play platform has become one of the most attractive and competitive market of Android App development. Millions of developers and data-driven businesses need actionable insights to capture their market strategically. Data from Google Play Store has enormous potential to empower them to success.
In this project, I would like to know what do the most popular Apps look like? Can we build a ML system to predict how popular an App will be? Here I use the Web scraped data of 10k Google Play Store Apps for exploring the Android market.
More material will be uploaded through time. It is not surprising to see typos; please email me if you find any (anyiheng11@ucla.edu).