📱 Google Play Store Genre Prediction

Problem Statement

There are huge number of applications released every day on Google Play Store. Keeping track of those apps can be difficult, due to the volume of them present and being released by different designers from various parts of the world. With the help of Python and data visualization libraries, therefore, we would be exploring various apps along with their reviews, ratings and price respectively.

As a result, we would be predicting the genre of the app released based on a few features such as the location, time and date released respectively. Moreover, data visualization was performed to give us a good understanding of some features present in data. Various barplots were generated to get us a good understanding of data. We would be looking forward to understand the genre of various applications.

👉 Directions to download the repository and run the notebook

This is for the Washington Bike Demand Prediction repository. But the same steps could be followed for this repository.

1. You'll have to download and install Git which could be used for cloning the repositories that are present. The link to download Git is https://git-scm.com/downloads.

  

2. Once "Git" is downloaded and installed, you'll have to right-click on the location where you would like to download this repository. I would like to store it in the "Git Folder" location.

  

3. If you have successfully installed Git, you'll get an option called "Gitbash Here" when you right-click on a particular location.

  

4. Once the Gitbash terminal opens, you'll need to write "Git clone" and then paste the link to the repository.

  

5. The link to the repository can be found when you click on "Code" (Green button) and then, there would be an HTML link just below. Therefore, the command to download a particular repository should be "Git clone HTML" where the HTML is replaced by the link to this repository.

  

6. After successfully downloading the repository, there should be a folder with the name of the repository as can be seen below.

  

7. Once the repository is downloaded, go to the start button and search for "Anaconda Prompt" if you have anaconda installed.

  

8. Later, open the Jupyter notebook by writing "Jupyter notebook" in the Anaconda prompt.

  

9. Now the following would open with a list of directories.

  

10. Search for the location where you have downloaded the repository. Be sure to open that folder.

  

11. You might now run the .ipynb files present in the repository to open the notebook and the python code present in it.

  

That's it, you should be able to read the code now. Thanks.