An AI-powered data science team of agents to help you perform common data science tasks 10X faster.

A curated list of 100+ resources for building and deploying generative AI specifically focusing on helping you become a Generative AI Data Scientist with LLMs

2 Lines of code to track ML experiments + EDA + check into Github

👋 Hey there! This is my GitHub profile README — a snapshot of who I am, what I build, and why I code.

🤖🏐 ML-powered system for automated volleyball highlight detection with smooth OpenCV-based video transitions.

Portfolio Website of cyb0rg14

Structured AI/ML career roadmap with 4 role-based paths. Interactive web app with phases, topics, clickable learning links, and progress tracking. Covers math, ML, deep learning, LLMs, RAG, MLOps, and Big Data.

All notes and project of MLOPS ZoomCamp 2023

📊 ML Engineer Transformation: 1,872 learning hours over 24 months Oct 2025 → Sep 2027 | Target: €80-100K Ireland ML role Roadmap: Math → ML Theory → Deep Learning → Production MLOps Building in public | Daily progress tracking

AI/ML Engineer specializing in Computer Vision and LLM-based systems, with hands-on experience building production-ready AI solutions, agentic workflows, and real-world machine learning applications.

Mr.Dhamodharan's Curriculum vitae

🧠 Robust model selection using K-Fold CV, Bootstrapping, and AIC — supports linear, ridge, and lasso regression with visualization tools.

🧠📊 ElasticNet regression implemented from scratch in Python — ideal for multicollinearity and feature selection with visual performance evaluation.

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

ML/AI Engineer portfolio showcasing end-to-end projects like agentic AI, Vision Transformers, and production-ready ML pipelines. Built with Astro.js + Tailwind CSS.

Solution for Shell.ai Hackathon 2025 – Fuel Blend Property Prediction using ML and data-driven modeling.