Train ML models with DVC

Ensuring the reproducibility of your experiments and maintaining a clean project structure can be challenging.

This exercise will guide you through a scenario where you have to train a machine-learning model using a structured approach. You'll leverage DVC for managing data versioning and reproducibility in machine learning projects. Your task is to complete the scaffolded dvc.yaml file provides instructions for preprocessing data and training a model, ensuring that you can confidently reproduce your experiments and collaborate effectively with your team.

NOTE: Use python3 instead of python to run Python scripts.