An AI-powered data science team of agents to help you perform common data science tasks 10X faster.
-
Updated
Apr 3, 2025 - Python
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.
All notes and project of MLOPS ZoomCamp 2023
Portfolio Website of cyb0rg14
📊 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
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Mr.Dhamodharan's Curriculum vitae
Solution for Shell.ai Hackathon 2025 – Fuel Blend Property Prediction using ML and data-driven modeling.
🧠 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.
🤖 Automate email responses with Django and AI—extracts inquiries, generates replies, and manages history with ease.
My featured projects, frameworks, and other highlights from my work in the data space.
Config files for my GitHub profile.
My Github Description
Add a description, image, and links to the ml-engineer topic page so that developers can more easily learn about it.
To associate your repository with the ml-engineer topic, visit your repo's landing page and select "manage topics."