MLOps Project with ZENML

Overview

This project demonstrates the implementation of an MLOps pipeline for predicting reviews using ZENML. ZENML is used to create a machine learning pipeline, making it easier to manage and reproduce the entire machine learning workflow.

Prerequisites

Ensure you have the following installed before running the project:

• Python (>=3.8)
• ZENML (pip install zenml)
• Other dependencies specified in requirements.txt

Project Structure

• data/: Contains the dataset for training and testing.
• src/: Holds the source code for the machine learning model.
• steps/: Stores the ZENML pipeline configurations.

Note: Use bash terminal or Unix terminal for successful execution.

Pipeline View in DashBoard

Getting Started

Clone the repository:

git clone https://github.com/shantanu-dahitule/MLOpsBasics.git
cd MLOpsBasics
pip install -r requirements.txt
zenml init
zenml run
To see the dashboard use
zenml up --blocking