📚 Day-3 Assignment: Create a Docker Image for Your Machine Learning Project 🚀

Step 1: 📂 Set Up Folder Structure & Download Dataset

• Create a proper folder structure for your project.

• Download the Iris Dataset from Kaggle and place it inside your project directory.

Step 2: 🐳 Write the Dockerfile

• Create a Dockerfile to define the environment for your ML project.

• Start by specifying the base image:
  

FROM python:3.9

• This pulls the official Python 3.9 image along with the necessary dependencies.

• Install the essential Python libraries required for the project:
  

RUN pip install pandas matplotlib scikit-learn

• Copy all files from your local directory to the working directory inside the container:

COPY . .

• Set the command to run your application when the container starts:

CMD ["python", "hello.py"]

Step 3: 🏗️ Build the Docker Image

• Build the Docker image using the following command:

docker build -t surya2k42/24mcr114:latest .