/Beginner-MLOps-Project-Brazilian-E-Commerce

This project uses the Brazilian E-Commerce Public Dataset by Olist to analyze customer behavior and sales trends. Utilizing ZenML, I implemented an MLOps workflow for data preprocessing, model training, and deployment, focusing on scalability and performance monitoring.

Primary LanguagePython

MLOps Project: Brazilian E-Commerce Analysis Using ZenML

Project Overview

This project aims to explore and analyze the Brazilian E-Commerce Public Dataset provided by Olist, focusing on applying MLOps practices to build, deploy, and monitor machine learning models effectively. As a beginner in MLOps, I utilized ZenML to streamline the workflow, ensuring efficient model development and deployment.

Getting Started

  1. Clone this repository to your local machine
  2. Install the required libraries using **pip install -r requirements.txt.
  3. Follow the notebook provided to explore the dataset and run the ML models.
  4. Use ZenML commands to manage your MLOps pipeline.