E2E ML Workflow

Implemented data versioning, model experimentation & CI using DVC, DVClive & GitHub Actions.

Blog : ML Workflow with DVC & DVCLive

Installation

1. Clone the repository.
2. Install dependencies using pip install -r requirements.txt.

Usage

1. Change the input parameters of params.yaml.
2. Run dvc exp run to execute the e2e workflow.

Folder Structure

• /src: Contains the source code files.
• /data: Stores input and output data files.
• /log: Store the log files.
• /dvclive: Store the logged parameters & metrics.

Dataset

• Download the dataset from here.

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