All the available resources to master MLOPS from scratch

Automated Tool for Optimized Modelling

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

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.

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

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.

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.

A Deep Learning project to detect and classify INR coins

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

MLOps Loan Approval Prediction System

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

Architecture-level study of how early CNN downsampling choices affect bias, generalization, and CPU inference behavior under constrained settings.

This repo for study MLFLOW

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

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.

AM I HUMAN? is a hilarious and slightly paranoid computer vision project that detects gender, age, and liveness basically idea ripped right out of futuristic scanner in Men in Black

This project develops a machine learning model to analyze property data and provide insightful real estate recommendations. It helps users make informed decisions to find the best properties and locations for their needs.

End-to-end Machine Learning Operations (MLOps) project on Network Security, including model development, versioning, CI/CD pipelines, deployment, monitoring, and automation.

Its a first part that is ml part of my project