ZenML 🙏: The bridge between ML and Ops. https://zenml.io.

All the available resources to master MLOPS from scratch

An MLOps Project for the ZenML Month of MLOps Competition

Sales Conversion Optimization MLOps: Boost revenue with AI-powered insights. Features H2O AutoML, ZenML pipelines, Neptune.ai tracking, data validation, drift analysis, CI/CD, Streamlit app, Docker, and GitHub Actions. Includes e-mail alerts, Discord/Slack integration, and SHAP interpretability. Streamline ML workflow and enhance sales performance.

A template for a starter project for ZenML

Kyligence Zen Metrics Language Toolkit

An end-to-end MLOps project covering everything from data ingestion to deployment using tools like ZenML, MLflow, streamlite and various MLOps libraries

An example MLOps overview of ZenML pipelines from a Huggingface Model Repository to a deployed AWS Sagemaker Endpoint.

A pipeline built on ZenML for training digit MNIST dataset using Pytorch, experiment tracking using MLFlow and model deployment using BentoML

A repository for Customer Satisfaction ML project 🚀. Using the power of Zenml, this repo ensures seamless integration of Machine Learning Operations.🤖

Kindly Check the Readme File

Production Level MLOps Project for Titanic Dataset

My practices in mlops tools 🥵. Feel free to explore the various scripts and files ⚙️. I am just diving into the world of production-ready Machine Learning with streamlined workflows. 🤖

Machine Learning End Semester Project

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.

Using machine learning and natural language processing to predict the stock market prices

ZenML Evaluation

a project for learning more about the zenml stack