A curated List of Coding Questions Asked in FAANG Interviews

Approaching (Almost) Any Machine Learning Problem

A collection of tech internships around europe.

A course on aligning smol models.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

Official repo for the #tidytuesday project

A topic-centric list of HQ open datasets.

Machine learning in Python with scikit-learn MOOC

The National Gallery of Art Open Data Program

Collection of all my data visualizations.

Practice your pandas skills!

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

LLM101n: Let's build a Storyteller

YSDA course in Natural Language Processing

Material for gpu-mode lectures

📝 An awesome Data Science repository to learn and apply for real world problems.

Kolmogorov Arnold Networks

Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

📺 Discover the latest machine learning / AI courses on YouTube.

10 Weeks, 20 Lessons, Data Science for All!

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

A place to keep track of all the annotated papers.

Caffe: a fast open framework for deep learning.

In-depth tutorials for implementing deep learning models on your own with PyTorch.

School Management System based on Django framework.