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
Mr.Dhamodharan's Curriculum vitae
🧠 Robust model selection using K-Fold CV, Bootstrapping, and AIC — supports linear, ridge, and lasso regression with visualization tools.
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.
🤖 Automate email responses with Django and AI—extracts inquiries, generates replies, and manages history with ease.
Solution for Shell.ai Hackathon 2025 – Fuel Blend Property Prediction using ML and data-driven modeling.
Portfolio Website of cyb0rg14
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."