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google-play-store

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Mobile apps are everywhere. They are easy to create and can be lucrative. Because of these two factors, more and more apps are being developed. In this project, you will do a comprehensive analysis of the Android app market by comparing over ten thousand apps in Google Play across different categories. You'll look for insights in the data to dev…

  • Updated Apr 20, 2020
  • Jupyter Notebook

Googleplaystore analysis by performig exploratory data analysis to determine important app features and using various prediction models such as Linear Regression, KNN, Decision Tree, Random Forest, Naïve Bayes, and Artificial Neural network (ANN) for predicting app success and finally visualising through tableau.

  • Updated May 24, 2021
  • Jupyter Notebook

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 model. I have used a raw data set of Google Play Store from the Kaggle website. This data set contains 13 different features that can be used for analyzing whether an app will be successful or not…

  • Updated Apr 15, 2022

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