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
All notes and project of MLOPS ZoomCamp 2023
📊 ML Engineer Transformation: 1,872 learning hours over 24 months Oct 2025 → Sep 2027 | Target: 80ドル-100K Ireland ML role Roadmap: Math → ML Theory → Deep Learning → Production MLOps Building in public | Daily progress tracking
Config files for my GitHub profile.
Mr.Dhamodharan's Curriculum vitae
🧠 Robust model selection using K-Fold CV, Bootstrapping, and AIC — supports linear, ridge, and lasso regression with visualization tools.
Solution for Shell.ai Hackathon 2025 – Fuel Blend Property Prediction using ML and data-driven modeling.
🤖 Automate email responses with Django and AI—extracts inquiries, generates replies, and manages history with ease.
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
🧠📊 ElasticNet regression implemented from scratch in Python — ideal for multicollinearity and feature selection with visual performance evaluation.
My featured projects, frameworks, and other highlights from my work in the data space.
My Github Description
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