ML DAY 2 (24MCR019) CREATE AN DOCKER IMAGE FOR ML PROJECT

Step1:

Create an Folder Structure and download the DataSet from Iris dataset from Kaggle.

Step2:

Create an Dockerfile for creating an docker image.
We can get the dependencies "FROM PYTHON:3.9" , it is used to get the dependencies.
We can run the required tools for running of the projects in this we have use pandas,matplotlib, scikit-learn for docker image to be run.
"RUN PIP INSTALL PANDAS MATPLOTLIB SCIKIT-LEARN"
We have to use Command "COPY . .", we have used it for source and destination.
We have used to start container by docker image command.
"CMD[python,"sample.py"]"

Step 3:
Create an docker image using
"docker build -t username/filename:latest ."

Step 4:
Run the Docker image using

Step 5:
Create an new branch in github repository and change that particular repository.

Step 6:
push the changes using add , commit , push to specific origin.