DS-73 / MobileApp-DownloadPrediction

MobileApp-DownloadPredition is a predictive machine learning project that predicts the number of possible downloads based upon various features and parameters of the concerned application.

ReadME

Objective

Through this project we have achived automation in the manual process of Machine Learning model training with the help of DevOps tool Jenkins along with full testing and training of model.

Description

In this project we have developed a Machine Learning prediction system through which users can predict the total number of downloads of their application even before uploading them which give them insight about the current categories of application trending amoung customers.

Operating System - RedHat 8

Softwares :

- Python 3

- Docker

- Jenkins

- Visual Studio Code

Contributors

1. Dhruv Saini
   . LinkedIN - https://www.linkedin.com/in/dhruv73

2. Jigyasu Deo
   . LinkedIN - https://www.linkedin.com/in/jigyasu-d-b5861011a

3. Divyansh Gautam
   . LinkedIN -https://www.linkedin.com/in/divyansh-g-b00a191a2

Dataset

https://www.kaggle.com/gauthamp10/google-playstore-apps?select=Google-Playstore-Full.csv

Graphs

1. Pair plot

2. Joint Plot

3. Heat Map