Project Overview
In this project, data analysis was performed with regard to the popularity attributes of the apps on Google Play Store; Google's official pre-installed app store on Android-certified devices.
During the project, an Exploratory Data Analysis was performed on the respective app applications based on this kaggle dataset. The analysis contains descriptive statistics and data visualization, whereas supervised (classification) and unsupervised (clustering) method techniques were applied leading to insights that can be useful for identifying which attributes are linked with the most popular apps on the Google Play Store platform.
Tools & Technologies Used
Python
Statistical Analysis
Machine Learning
Supervised/Unsupervised Learning
Regression/Classification
K-means Clustering
Data Visualization
Pandas
NumPy
Scikit-Learn