- Its a suite of DataScience Projects.
- Link to Presentation Slides - https://github.com/nareshkumar66675/Appomania/blob/master/reports/AppoMania.pdf
- 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.
- Obviously, we cannot say which is better. It is upto the users discretion.
- 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 images shows the Infographics about the dataset(Created using Canva).
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- 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.
- External - Data -- Android - Google Play Store Data Set -- iOS - Apple App Store Data Set
- 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