Machine Learning on Docker

Step 1:

Install docker in your system

command: yum install docker

note: yum must be configured before that

enter y

After Docker gets successfully installed

Step 2:

Pull any image you want

lets say Centos ( it will automatically pull latest one from docker hub)

Step 3:

Launch a container over docker

command: docker run -it -name stask1 centos

Step 4:

install python over container

command: yum install python3

Enter y

Python is installed over docker!

Step 5:

install numpy library which will be used to save columns while creating our model.

command: pip3 install numpy

Step 6:

install pandas library which will be needed while training our model.

command:

pip3 install pandas

Step 7:

install sklearn library which will be needed while training our model.

command:

pip3 install sklearn

Step 8:

Create a python file to write a code which train our model.

Step 9:

download or copy the dataset from host system.

command: docker cp salary.py stask1:salary.py

docker cp salary.csv stask:salary.csv

Step 10:

Run your python file:

python3 salary.py

It will ask to enter number of experienced years

and after that it will predict your salary.

Thanks for reading! happy learning!