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

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

A MLOps project uses DagsHub & MLFlow

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

Getting familiar with mflow

RuralCredit: Empowering Tomorrow's Opportunities

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

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.

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.

Testing MLflow & Dagshub open-source platform collaboration.

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

MLFlow example on Dagshub and AWS

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.

MLOPS | MLflow project demo: tracking machine learning models.

PulmoDetect Image Analysis

End to End Data science workflow for Car Price prediction

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