𝗠𝗟 𝗽𝗿𝗼𝗷𝗲𝗰𝘁, encompassing key topics like 𝗗𝗮𝗴𝘀𝗵𝘂b and 𝗠𝗟𝗳𝗹𝗼𝘄 for version control, 𝗠𝗟𝗢𝗽𝘀 practices for efficient deployment, and robust 𝗖𝗜/𝗖𝗗 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 setup. Showcased 𝗔𝗪𝗦 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 with the help of 𝗚𝗶𝘁𝗛𝘂𝗯 𝗔𝗰𝘁𝗶𝗼𝗻 prowess for seamless machine learning application integration.

A MLOps project uses DagsHub & MLFlow

Testing MLflow & Dagshub open-source platform collaboration.

A comprehensive end-to-end Machine Learning project designed to predict bank deposit subscriptions using the well-known "Bank Marketing" dataset with production grade deployment techniques.

Chest Cancer Classification using Chest CT Scan. Using Vgg16 Model.

Getting familiar with mflow

Automating machine learning experiment tracking with MLFlow on AWS and Dagshub.

MLFlow example on Dagshub and AWS

PulmoDetect Image Analysis

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

Implementing end to end ml life-cycle

An end-to-end machine learning project with MLflow(MLOps Tool for Experiment Tracking and Model Registration) - Wine Quality Predictor

A repository that holds machine learning projects that uses MLflow for experiment tracking

Introduction to DagsHub and its integration to kedro

An end-to-end deep learning project using DVC(MLOps Tool for Pipeline Tracking & Implementation) and Mlflow(MLOps Tool for Experiment Tracking and Model Registration) - Kidney Disease Classification

A Deep Learning project to detect and classify INR coins

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