21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Learn how to design, develop, deploy and iterate on production-grade ML applications.

10 Weeks, 20 Lessons, Data Science for All!

Kolmogorov Arnold Networks

llama3 implementation one matrix multiplication at a time

Companion webpage to the book "Mathematics For Machine Learning"

The "Python Machine Learning (1st edition)" book code repository and info resource

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

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

For extensive instructor led learning

Analysis of SQL Leetcode and classic interview questions, common pitfalls, anti-patterns and handy tricks. Sample databases.

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

Practical Full-Stack Machine Learning

This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.

Time Series Analysis project with Prophet.

This project aims to understand trends in agricultural prices through quantity arrival data for different commodities in state of Maharashtra, India.