rickystanley76 / fifa18-wage-prediction-aws

Problem description FIFA 18 Complete Player Dataset from Kaggle.com 17k+ players, 70+ attributes extracted from the latest edition of FIFA I am going to create a model from where club owners can find out or suggest the wage of a player while hiring them into the club.

fifa18-wage-prediction-AWS

Problem description
FIFA 18 Complete Player Dataset from Kaggle.com
17k+ players, 70+ attributes extracted from the latest edition of FIFA I am going to create a model from where club owners can find out or suggest the wage of a player while hiring them into the club.

Model Creation

I have used random forest with hyperparameter tuning to have the best model.
I have tested with many difffernt tools and algforothms. Best one i have found is Scikit learn and Flask to deploy that in AWS EC2.

Model Deployment

Model is deployed unsing Flask and AWS EC2 as an web interface.

Intallation Process:

1. Launch one EC2 intance in AWS according to your choice. (I have used Ubuntu 18 )
2. Upload the files and folders to the home folder /home/ubuntu (I have used winSCP to upload)
3. Use Putty to connect to the EC2 intance.
4. Run the following command:

a. sudo apt-get update && sudo apt-get upgrade

b. sudo apt-get install python3-pip

c. pip3 install -r requirements.txt

5. To run the app: python3 app.py

OR To run the application when you close the terminal, use Screen.

4. screen
5. python3 app.py

Now you can close the terminal and it will be still running in the background.

To Stop your application, connect again with the putty and run the command.

6. screen -r

you will see your application running. you can turn off by ctrl+c

7. the URL: http://yourIP:8080