AppoMania

• Its a suite of DataScience Projects.
• Link to Presentation Slides - https://github.com/nareshkumar66675/Appomania/blob/master/reports/AppoMania.pdf

What it Does?

• It is the analysis of two prominent app stores. Google Play Store and Apple App Store.
• It creates models for predicting various stuffs related to the apps.
• It visualizes both the app stores, compares and contrasts.

What it does not do?

• Obviously, we cannot say which is better. It is upto the users discretion.

Datset Used

• Apple App Store : https://www.kaggle.com/ramamet4/app-store-apple-data-set-10k-apps#AppleStore.csv
• Google Play store : https://www.kaggle.com/lava18/google-play-store-apps#googleplaystore.csv

• Below is the multiple attributes in both the datasets.

InfoGraphics

• Below images shows the Infographics about the dataset(Created using Canva).

Project Struture

Notebooks

• Classification - Genre and Content Classification using Description
• Clustering - Cluster Apps based on User Review
• Regression - Predict the Ratings and Price
• Anomaly - Finds the anomalies in the rating
• Recommender - Recommends apps based on the current user apps.

Data

• External - Data -- Android - Google Play Store Data Set -- iOS - Apple App Store Data Set

Reports

• Classification - Graphs and plots related to Classifications
• Clustering - Graphs and plots related to Clustering
• Regression - Graphs and plots related to Regression
• Anomaly - Graphs and plots related to Anomaly
• Recommender - Graphs and plots related to Recommender
• Images - Other Images