Stefan Faulkner's starred repositories
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
approachingalmost
Approaching (Almost) Any Machine Learning Problem
Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
uYou-for-YouTube
Enhance Your YouTube Experience
queueing-theory
Queueing theory: an introduction for software development
machine-learning-interview-enlightener
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
free_r_tips
Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every week.
tensor-house
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
Programming_Interview_Study_Plan
This is the Programming Interview Study Plan by Siraj Raval on Youtube
phd-master-application-docs
A collection of the application documents I used to apply to universities in the US.
VMLS-Companions
These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.
noBSLAnotebooks
Jupyter notebooks with exercises for the No bullshit guide to linear algebra.
Programmers_guide_to_Python
Learn almost everything in python fast 🚀
CVRPTW_MILP
Solving a Capacitated Vehicle Routing Problem with time windows constraints (CVRPTW) with Mixed Integer Linear Programming (MILP) in python-gurobi API.
gre-requirements
Is the GRE required for that graduate program you want to apply to?
ISYE-6663-Project
ISYE 6663 Project
Discrete-Optimisation
Algorithms project based on the Coursera course by Pascal Van Hentenryck
Data-Mining-and-Statistical-Learning
Open-ended projects