MLOps Demo — Pandas Mini-Project

This repository is part of my Ironhack bootcamp work, where I explored Pandas fundamentals while structuring the project in an MLOps-style workflow.
It includes lab exercises, the Admission_Predict.csv dataset, and supporting Python scripts.

Roles (per lab)

• Developer: Affiwhizz
• Gatekeeper/Reviewer: Lukman Kayode Sadiq

Quickstart

1. Clone the repo

   git clone https://github.com/Affiwhizz/mlops-demo.git
   cd mlops-demo
   

Install dependencies pip install -r requirements.txt

Run the script python src/ml_ops.py

Features

• Creates a Pandas Series and demonstrates indexing.
• Builds a small DataFrame and performs column/row operations.
• Loads data/Admission_Predict.csv and prints simple stats/filters.

Lab Workflow (Developer → Gatekeeper) Developer (Affiwhizz):

• Set up repo, virtual environment, and requirements file
• Pushed initial commit to remote
• Created a feature branch with small change
• Opened a Pull Request

Gatekeeper (Lukman Sadiq):

• Reviewed the PR
• Pulled branch locally, ran the code with venv + requirements
• Confirmed it worked and merged to main

Sample Output** Here’s an example run of the script:

Future Work

• Expand data analysis with more complex Pandas operations
• Add unit tests to validate data transformations
• Integrate GitHub Actions for automated testing
• Explore packaging this project as a Python module

Notes Python 3.10+ recommended Dataset is for teaching/demo only

This repo reflects my learning journey with Pandas and Git/GitHub workflows. Feel free to fork or suggest improvements.