MLOps Course Repository

This repository contains all materials, code, and projects for my MLOps course.

Structure

• notebooks/: Jupyter notebooks for exploratory data analysis and model prototyping
• data/: Datasets used in the course (may be gitignored if files are large)
• models/: Saved models and model artifacts

Environment

This project uses Python 3.12 with the following key dependencies:

• MLflow 2.15.1
• scikit-learn 1.5.1
• pandas 2.2.2
• numpy 1.26.4

To set up the environment:

1. Clone this repository
2. Create a conda environment: conda create --name mlops python=3.12
3. Activate the environment: conda activate mlops
4. Install dependencies: pip install -r requirements.txt

Projects

[This section will be updated as projects are completed]