🔥 Trending Repository: datascience
📝 Description: This repository is a compilation of free resources for learning Data Science.
🔗 Repository URL: https://github.com/geekywrites/datascience
🌐 Website: https://twitter.com/geekywrites
📖 Readme: https://github.com/geekywrites/datascience#readme
📊 Statistics:
🌟 Stars: 5.1K stars
👀 Watchers: 381
🍴 Forks: 529 forks
💻 Programming Languages: Not available
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🧠 By: https://t.me/DataScienceN
📝 Description: This repository is a compilation of free resources for learning Data Science.
🔗 Repository URL: https://github.com/geekywrites/datascience
🌐 Website: https://twitter.com/geekywrites
📖 Readme: https://github.com/geekywrites/datascience#readme
📊 Statistics:
🌟 Stars: 5.1K stars
👀 Watchers: 381
🍴 Forks: 529 forks
💻 Programming Languages: Not available
🏷️ Related Topics:
#data_science #machine_learning #natural_language_processing #computer_vision #machine_learning_algorithms #artificial_intelligence #neural_networks #deeplearning #datascienceproject
==================================
🧠 By: https://t.me/DataScienceN
🔥 Trending Repository: pathway
📝 Description: Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
🔗 Repository URL: https://github.com/pathwaycom/pathway
🌐 Website: https://pathway.com
📖 Readme: https://github.com/pathwaycom/pathway#readme
📊 Statistics:
🌟 Stars: 37.6K stars
👀 Watchers: 80
🍴 Forks: 1.1K forks
💻 Programming Languages: Python - Rust
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🧠 By: https://t.me/DataScienceM
📝 Description: Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
🔗 Repository URL: https://github.com/pathwaycom/pathway
🌐 Website: https://pathway.com
📖 Readme: https://github.com/pathwaycom/pathway#readme
📊 Statistics:
🌟 Stars: 37.6K stars
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🍴 Forks: 1.1K forks
💻 Programming Languages: Python - Rust
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#python #rust #streaming #real_time #kafka #etl #machine_learning_algorithms #stream_processing #data_analytics #dataflow #data_processing #data_pipelines #batch_processing #pathway #iot_analytics #etl_framework #time_series_analysis
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🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: ML-For-Beginners
📝 Description: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
🔗 Repository URL: https://github.com/microsoft/ML-For-Beginners
📖 Readme: https://github.com/microsoft/ML-For-Beginners#readme
📊 Statistics:
🌟 Stars: 79.6K stars
👀 Watchers: 1.1k
🍴 Forks: 18.5K forks
💻 Programming Languages: Jupyter Notebook - HTML - Python - Vue - JavaScript - Dockerfile
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==================================
🧠 By: https://t.me/DataScienceM
📝 Description: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
🔗 Repository URL: https://github.com/microsoft/ML-For-Beginners
📖 Readme: https://github.com/microsoft/ML-For-Beginners#readme
📊 Statistics:
🌟 Stars: 79.6K stars
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🍴 Forks: 18.5K forks
💻 Programming Languages: Jupyter Notebook - HTML - Python - Vue - JavaScript - Dockerfile
🏷️ Related Topics:
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==================================
🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: datascience
📝 Description: This repository is a compilation of free resources for learning Data Science.
🔗 Repository URL: https://github.com/sreeharierk/datascience
🌐 Website: https://twitter.com/sreeharierk
📖 Readme: https://github.com/sreeharierk/datascience#readme
📊 Statistics:
🌟 Stars: 5.1K stars
👀 Watchers: 378
🍴 Forks: 530 forks
💻 Programming Languages: Not available
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==================================
🧠 By: https://t.me/DataScienceN
📝 Description: This repository is a compilation of free resources for learning Data Science.
🔗 Repository URL: https://github.com/sreeharierk/datascience
🌐 Website: https://twitter.com/sreeharierk
📖 Readme: https://github.com/sreeharierk/datascience#readme
📊 Statistics:
🌟 Stars: 5.1K stars
👀 Watchers: 378
🍴 Forks: 530 forks
💻 Programming Languages: Not available
🏷️ Related Topics:
#data_science #machine_learning #natural_language_processing #computer_vision #machine_learning_algorithms #artificial_intelligence #neural_networks #deeplearning #datascienceproject
==================================
🧠 By: https://t.me/DataScienceN
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