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

Like Openclaw, but for ML engineering. Your always-on and autonomous ML engineer that works 24/7 to conduct research, generate datasets, train models, learn and evolve. Works on Colab, local GPU or over SSH. Zero infra needed

My personal repository.

Ivan Murzak - Software Engineer, AI Engineer, Game Developer.

👋 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

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.

📊 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

🧠 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.

AI/ML Job Roadmap platform for Data Science, Machine Learning, and AI Engineering aspirants. Explore structured learning paths, interview prep resources, project ideas, tech stacks, and career guidance for landing top AI roles. Inspired by MAANG-level preparation journeys.

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