The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.

Репозиторий для открытого курса «Промышленная эксплуатация моделей машинного обучения»

👨‍🔬 In Russian: Обновляемая структурированная подборка бесплатных ресурсов по тематикам Data Science: курсы, книги, открытые данные, блоги и готовые решения.

❗ uplift modeling in scikit-learn style in python 🐍

HandySpark - bringing pandas-like capabilities to Spark dataframes

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

A Github Action that runs pycodestyle and leaves a comment on your pull request with style errors.

Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of …

pyspark methods to enhance developer productivity 📣 👯 🎉

ВШЭ Выпускной проект Современный анализ данных

Getting Started with Data Enngineering

📈 Stock screener and portfolio analyzer, providing key insights on financial reports, news articles and more!

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

Streamlit — A faster way to build and share data apps.

🦉 Data Versioning and ML Experiments

CatBoost tutorials repository

A collection of scripts and examples created while answering questions from the greater Dash community

Caffe: a fast open framework for deep learning.