Google-Play-Store-Analysis

Build a model with a high accuracy on predicting the amount of installs for certain applications on the Google Play Store.

apps

View on GitHub

4 Stars

0 Forks

4 Watchers

Jupyter Notebook Language

64.9 SrcLog Score

Cost to Build

$152.1K

Market Value

$76.1K

How is this calculated?

Growth over time

8 data points · 2021-08-01 → 2026-04-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about Google-Play-Store-Analysis

Question copied to clipboard

What is the halmonchaquayla/Google-Play-Store-Analysis GitHub project? Description: "Build a model with a high accuracy on predicting the amount of installs for certain applications on the Google Play Store.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone Google-Play-Store-Analysis

Clone via HTTPS

git clone https://github.com/halmonchaquayla/Google-Play-Store-Analysis.git

Clone via SSH

[email protected]:halmonchaquayla/Google-Play-Store-Analysis.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the Google-Play-Store-Analysis issue tracker:

Open GitHub Issues

Similar to Google-Play-Store-Analysis

django fastlane open-source-mac-os-apps odoo Android_Data awesome-command-line-apps material-design-data stacks-blockchain android-examples blockstack-browser FlutterExampleApps dext hapi-fhir apps FileMasta mycroft-skills rust macos-apps appstat awesome-tailwindcss docker app-icon Ionic-Starter-Template Fossdroid-Core purrge awesome-decentralized raccoon4 MCW AndroidAppyDeveloperTools itunes_store_transporter