This Google Play Store dataset from Kaggle, analysis using Python, NumPy , Pandas , and Matplotlib.In dataset analysis, you can view the best app 5-star rating app, most review app, or most download app, etc.
Analyzing Google playstore dataset using pandas, matplotlib and basic tkinter.
AlmaBetter Capstone Project -Exploratory data analysis (EDA) is used by data scientists to analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods.
A detailed data analysis project exploring app ratings, installs, categories, pricing trends, sentiments, and revenue generation on the Google Play Store using Python, Pandas, and Visualization tools. Project completed as part of Null Class Training
AppCrawler is a Python-based tool designed to collect app data from both the Apple App Store and Google Play Store. It focuses specifically on applications related to AI and LLMs (Large Language Models).
Google Play App rating predictor done as a part of Summer Training 2019.
The purpose of our project was to gather and analyze detailed information on apps in the Google Play Store in order to provide insights on app features and the current state of the Android app market
Play Store Review Scraper: Fetch reviews of specified top 10 apps from search to do further analysis of reviews
The objective of this project is to help a newbie with building their technical know-how about building a good android application. To study current trends and insights of Play Store.
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