DataLearns
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data-engineering
data-engineering PublicForked from Data-Learn/data-engineering
Getting Started with Data Enngineering
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datasets-for-ML
datasets-for-ML PublicForked from huggingface/datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Python 3
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reverse-interview
reverse-interview PublicForked from kix/reverse-interview
Questions to ask the company during your interview
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data-science
data-science PublicForked from Data-Learn/data-science
Free Data Science course 4everyone
Jupyter Notebook 1
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Repositories
- GitNexus Public Forked from abhigyanpatwari/GitNexus
GitNexus: The Zero-Server Code Intelligence Engine - GitNexus is a client-side knowledge graph creator that runs entirely in your browser. Drop in a GitHub repo or ZIP file, and get an interactive knowledge graph wit a built in Graph RAG Agent. Perfect for code exploration
DataLearns/GitNexus’s past year of commit activity - s4core Public Forked from s4core/s4core
🚀3x faster than MinIO and RustFS. S4Core is an open-source, Rust-based S3-compatible server. Say goodbye to inode exhaustion and hello to atomic operations and smart deduplication
DataLearns/s4core’s past year of commit activity - python-mini-projects Public Forked from Python-World/python-mini-projects
A collection of simple python mini projects to enhance your python skills
DataLearns/python-mini-projects’s past year of commit activity - RFSD Public Forked from irlcode/RFSD
The Russian Financial Statements Database (RFSD) is an open, harmonized collection of annual unconsolidated financial statements of the universe of Russian firms in 2011-2024. It is the first open data set with information on every active firm in the country, including non-filing firms.
DataLearns/RFSD’s past year of commit activity - DA-final-project Public Forked from mishandri/DA-final-project
Проект реализует полный цикл автоматизированного сбора данных по API, их загрузку в БД PostgreSQL и визуализацию ключевых метрик через Yandex DataLens. Цель - обеспечить стабильный поток данных для аналитики клиентской активности, продаж и ассортиментной матрицы.
DataLearns/DA-final-project’s past year of commit activity
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