Druizm128
I am data scientist working to improve people’s lives with data science and machine learning.
AWSMexico City, Mexico
Druizm128's Stars
adam-p/markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
janishar/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
louisfb01/best_AI_papers_2021
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
pymc-labs/CausalPy
A Python package for causal inference in quasi-experimental settings
valeman/awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
PacktPublishing/Practical-Guide-to-Applied-Conformal-Prediction
Practical Guide to Applied Conformal Prediction, published by Packt
Apress/make-your-own-python-text-adventure
Source code for 'Make Your Own Python Text Adventure' by Phillip Johnson
UCB-MIDS/w241
This is the course repository for w241 and 290 -- Experiments and Causality.