WebJul 6, 2024 · The dataset collected from the Google Play store is semi-structured or unstructured and contains significant superfluous data (defined as not contributing significantly to the prediction process). Since large datasets require longer training times, and because “stop words” reduce the prediction accuracy, text preprocessing is therefore ...
Data Science Project: Profitable App Profiles for App Store and Google Play
WebMar 3, 2024 · Data Science — A comprehensive analysis on “Google Play Store Apps” dataset from Kaggle. Photo by MOHI SYED from Pexels. ... We have two datasets from Kaggle for app reviews; one is the list of apps with information. It has information such as app name, category, rating, and more. And the other is a list of reviews for each app with … WebJun 20, 2024 · The google play store is one of the largest and most popular Android app stores. It has an enormous amount of data that can be used to make an optimal … do homeless shelters lower property values
Unraveling Intriguing Insights: EDA, Visualization, and …
WebDec 16, 2024 · For this project, we took the Google Play Store Data sets and analyzed and processed the data. After the data was transformed into a usable set, we used plots and functions to understand the ... WebWorkspace templates contain pre-written code on specific data tasks, example data to experiment with, and guided information to get you started. All required packages are included in the Templates and you can upload your own data. Workspace templates are useful for common data science tasks and getting insights quickly, from cleaning data ... WebJan 29, 2024 · Profitable App Profiles for the App Store and Google Play Markets. Our aim in this project is to find mobile app profiles that are profitable for the App Store and Google Play markets. We’re working as data analysts for a company that builds Android and iOS mobile apps, and our job is to enable our team of developers to make data-driven ... fair lawn boys volleyball