Will's repositories
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.
SolarWindz
Practicum Hackathon
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.
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
public-apis
A collective list of free APIs
python-guide
Python best practices guidebook, written for humans.
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks