trying out first mlops project

Here's a summary of what I have done in this project so far:

Data Loading and Analysis: Loaded a CSV dataset using Pandas. Analyzed the data to understand its structure and features.

Virtual Environment Setup: Created a virtual environment to isolate the project's dependencies. Installed necessary Python packages within the virtual environment.

Model Building: Built a machine learning model using scikit-learn's Logistic Regression.

Flask Application Setup: Created a Flask application to serve the machine learning model. Defined a /predict route to make predictions based on input data. Configured the application to run on a specific port.

Dockerization: Created a Dockerfile to containerize the Flask application.

Built a Docker image. RUN a Docker container for the Flask application.

Continuous Integration/Continuous Deployment (CI/CD): Set up a GitHub Actions workflow for CI/CD. Automated the build and push of Docker images using GitHub Actions.