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

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

A Deep Learning project to detect and classify INR coins

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.

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.

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

This repository holds open-source machine learning models for various domains ready to download and use

This is the project to track the experiments using ML Flow and doing collaborative experiment tracking on remote server using DagsHub

End to End Kidney Disease Classification

This repository trains image captioning model using CNN and Transformers.

This project focuses on forecasting customer churn in the telecom industry by leveraging various features. The goal is to implement a straightforward, real-time prediction system capable of handling both batch and online predictions. The predictive model is deployed using Streamlit, providing an interactive and user-friendly interface for exploring

End to End Data science workflow for Car Price prediction

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

TrafficSignSpotter predicts Indian traffic signs by analyzing images, leveraging advanced machine learning algorithms to ensure accurate recognition and timely detection, enhancing road safety and compliance with traffic regulations.

This project utilizes cutting-edge MLOps practices, integrating CI/CD pipelines, DVC, and MLflow to streamline development, testing, and deployment for deep learning models on chest CT images.

RuralCredit: Empowering Tomorrow's Opportunities

Credit Score: Developed and deployed a credit score model using MLFlow, FastAPI, Docker, and Azure Container App Services. Created a Streamlit web app for user interaction, hosted on Hugging Face Spaces, with CI/CD integration throughout.