applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

awesome-public-datasets

A topic-centric list of HQ open datasets.

awesome-quant-machine-learning-trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

bad-data-guide

An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

cheatsheets

codepudding

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

financial-machine-learning

A curated list of practical financial machine learning tools and applications.

from-0-to-research-scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

gensim-data

Data repository for pretrained NLP models and NLP corpora.

machine-learning-asset-management

Machine Learning in Asset Management (by @firmai)

machine-learning-for-cyber-security

Curated list of tools and resources related to the use of machine learning for cyber security

machine-learning-interview

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

made-with-ml

Learn how to responsibly develop, deploy and maintain production machine learning applications.

papers

Summaries of machine learning papers

practicum---projects

Here is a compliation of Data Science projects I completed while in the Data Science bootcamp in Practicum by Yandex. They involve Data Preprocessing, Analysis and Visualization, Statistical Analysis, Machine Learning, Machine Learning for texts, Time Series, Computer Vision, etc.

public-apis

A collective list of free APIs

python-guide

Python best practices guidebook, written for humans.

solarwindz

Practicum Hackathon

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

wnewsom96

Config files for my GitHub profile.

wnewsom96.github.io

yandex-practicum