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

Trace production ML models back to their exact training data using DVC and MLflow on Amazon SageMaker AI.

Streamlit App for Node and Graph Classification and Explainability

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

An MLOps project for predicting illnesses based on weather conditions

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

Production-style fine-tuning project for schema-constrained JSON extraction using QLoRA + DPO, with reproducible evals, training curves, and vLLM benchmarks.

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.

Project template using DVC and Poetry.