All the available resources to master MLOPS from scratch

Automated Tool for Optimized Modelling

Learned comprehensive MLOps practices covering the complete machine learning lifecycle from development to production deployment and monitoring.

An end-to-end machine learning pipeline for detecting network security threats and phishing attempts with real-time prediction capabilities. The system leverages FastAPI for high-performance API serving, MongoDB for data management, and MLflow for comprehensive experiment tracking throughout the model lifecycle.

his project implements a complete ML pipeline with data ingestion, validation, transformation, model training, and evaluation using MLflow for experiment tracking.

This repository holds open source datasets for various machine learning domains with a link to download and use them

This is self study about the MLOPS

MLOps Loan Approval Prediction System

This project contains the production-ready Machine Learning solution for detecting and classifying Covid-19, Viral disease, and No disease in posteroanterior and anteroposterior views of chest x-ray

Aircraft components are susceptible to degradation, which affects directly their reliability and performance. This machine learning project will be directed to provide a framework for predicting the aircraft’s remaining useful life (RUL) based on the entire life cycle data in order to provide the necessary maintenance behavior.

A sophisticated sentiment analysis project that classifies YouTube comments into positive, neutral, or negative sentiments using advanced machine learning techniques. This production-ready solution combines LightGBM for high-performance sentiment classification with modern MLOps practices.

ML system that Experiments, Tests, and Deploys itself From raw data to production predictions - completely automated.

Automated MLOps for Urban Air Quality is a serverless AI system forecasting PM2.5 levels for Karachi, Pakistan. It automates the entire machine learning lifecycle from hourly data ingestion to daily model retraining, predicting air quality for 24, 48, and 72 hour horizons.

A repository that holds machine learning projects that uses DVC for data pipeline orchestration

This project applies machine learning models to predict BMI categories based on individual physical attributes, utilizing MLflow for experiment tracking and model management, with integration into DagsHub for collaborative data science workflows. It showcases the power of MLflow in enhancing model lifecycle management and reproducibility.

End-to-end MLOps project for colorectal cancer survival prediction using MLflow, DagsHub, Kubeflow, and Kubernetes. Features automated ML pipelines, experiment tracking, and containerized deployment.

End to End Movie Sentiment Predictor Microservice using AWS and Github Actions

A Deep Learning project to detect and classify INR coins

This project aims to predict the quality of wines using various machine learning algorithms. It utilizes the MLflow platform to manage the end-to-end machine learning lifecycle, including data preprocessing, model training, hyperparameter tuning, and deployment on AWS EC2.

End to End Kidney Disease Classification model using MLFlow, DVC, DagsHub, AWS, Github Actions, Docker