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The book every data scientist needs on their desk.
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
A 4-hour coding workshop to understand how LLMs are implemented and used
An ongoing list of pandas quirks
Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024
Online resources for Python Crash Course, 3rd edition, from No Starch Press.
The Official Repo for "Quick Start Guide to Large Language Models"
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Learn ML engineering for free in 4 months!
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Data science interview questions and answers
Introduction to Mutation Testing
Study guides for MIT's 15.003 Data Science Tools
Machine learning and process automation
This repository is for everyone who is preparing for Data Scientist/Data Analyst position interviews. It includes frequently asked SQL coding questions with answers.
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Companion webpage to the book "Mathematics For Machine Learning"
The fastai book, published as Jupyter Notebooks
Companion repository for the book Building Machine Learning Powered Applications
My Answer to 120 Data Science Interview Questions
Database files for the O'Reilly book "Getting Started with SQL: A hands on approach for beginners" http://goo.gl/z3zG54
Code for Tensorflow Machine Learning Cookbook