SageMaker Experiments and DVC

Stolen programs from Rohit Mehra's Time Machine from Krish(2006) for future weather prediction at Beutenberg

Some useful stuff for a software/ML engineer

Kaggle | Plant Seedlings Classification

This project contains the production ready Machine Learning solution to make the prediction on the batch of data coming from Air Pressure system (APS) sensors

Streamlit App for Node and Graph Classification and Explainability

An MLOps project for predicting illnesses based on weather conditions

Deploying a Machine Learning Model on Heroku with FastAPI using CI/CD tools as GitHub Actions and Heroku Automatic Deployment.

This is a test project to learn how to use pytorch (pytorch-lightning) for computer vision and how to include DVC and MLflow in my workflow

This contains the dvc files created from data versioning.

Code for MLOps Study Session

Kaggle | Histopathologic Cancer Detection

Data Version Control Tutorial/Repo for project-of-the-week DataTalksClub event

AIOps Workflow implementation for Stack Overflow tag prediction task

FastAPI for the classification model on publicly available Census Bureau data

A comprehensive Machine Learning pipeline for SMS Spam Detection using DVC (Data Version Control) for reproducible ML workflows and DVC Live for experiment tracking. This project demonstrates best practices for building scalable, maintainable ML pipelines.

This is a production grade project which is used to classify eight different types of Skin Diseases using CNN. It is trained on top of VGG16 architecture and used MLFLOW for model versioning. It also uses DVC pipeline to automate the complete each stage of the project. Finally I have dockerized the project and Hosted In AWS using EC2 instance, ECR.