🔥 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.iss.one/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.iss.one/DataScienceN
🔥 Trending Repository: Data-Science-Interview-Resources
📝 Description: A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
🔗 Repository URL: https://github.com/rbhatia46/Data-Science-Interview-Resources
📖 Readme: https://github.com/rbhatia46/Data-Science-Interview-Resources#readme
📊 Statistics:
🌟 Stars: 3.1K stars
👀 Watchers: 50
🍴 Forks: 719 forks
💻 Programming Languages: Not available
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🧠 By: https://t.iss.one/DataScienceN
📝 Description: A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
🔗 Repository URL: https://github.com/rbhatia46/Data-Science-Interview-Resources
📖 Readme: https://github.com/rbhatia46/Data-Science-Interview-Resources#readme
📊 Statistics:
🌟 Stars: 3.1K stars
👀 Watchers: 50
🍴 Forks: 719 forks
💻 Programming Languages: Not available
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#data_science #machine_learning #artificial_intelligence #interview_questions #interview_resources #learning_resources #machine_learning_interview #data_science_interview
==================================
🧠 By: https://t.iss.one/DataScienceN
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🔥 Trending Repository: awesome-machine-learning-interpretability
📝 Description: A curated list of awesome responsible machine learning resources.
🔗 Repository URL: https://github.com/jphall663/awesome-machine-learning-interpretability
📖 Readme: https://github.com/jphall663/awesome-machine-learning-interpretability#readme
📊 Statistics:
🌟 Stars: 3.8K stars
👀 Watchers: 132
🍴 Forks: 608 forks
💻 Programming Languages: Not available
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🧠 By: https://t.iss.one/DataScienceN
📝 Description: A curated list of awesome responsible machine learning resources.
🔗 Repository URL: https://github.com/jphall663/awesome-machine-learning-interpretability
📖 Readme: https://github.com/jphall663/awesome-machine-learning-interpretability#readme
📊 Statistics:
🌟 Stars: 3.8K stars
👀 Watchers: 132
🍴 Forks: 608 forks
💻 Programming Languages: Not available
🏷️ Related Topics:
#python #data_science #machine_learning #awesome #r #awesome_list #transparency #fairness #ai_safety #privacy_enhancing_technologies #interpretability #interpretable_ai #interpretable_ml #explainable_ml #xai #interpretable_machine_learning #privacy_preserving_machine_learning #machine_learning_interpretability #secure_ml #reliable_ai
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🧠 By: https://t.iss.one/DataScienceN
🔥 Trending Repository: data-science-career
📝 Description: Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository
🔗 Repository URL: https://github.com/firmai/data-science-career
📖 Readme: https://github.com/firmai/data-science-career#readme
📊 Statistics:
🌟 Stars: 975 stars
👀 Watchers: 33
🍴 Forks: 150 forks
💻 Programming Languages: Not available
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🧠 By: https://t.iss.one/DataScienceN
📝 Description: Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository
🔗 Repository URL: https://github.com/firmai/data-science-career
📖 Readme: https://github.com/firmai/data-science-career#readme
📊 Statistics:
🌟 Stars: 975 stars
👀 Watchers: 33
🍴 Forks: 150 forks
💻 Programming Languages: Not available
🏷️ Related Topics:
#data_science #machine_learning #big_data #analytics #resources #career #business_intelligence #business_analytics
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🧠 By: https://t.iss.one/DataScienceN
🔥 Trending Repository: FreeML
📝 Description: A List of Data Science/Machine Learning Resources (Mostly Free)
🔗 Repository URL: https://github.com/Shujian2015/FreeML
📖 Readme: https://github.com/Shujian2015/FreeML#readme
📊 Statistics:
🌟 Stars: 1.1K stars
👀 Watchers: 118
🍴 Forks: 517 forks
💻 Programming Languages: Not available
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🧠 By: https://t.iss.one/DataScienceN
📝 Description: A List of Data Science/Machine Learning Resources (Mostly Free)
🔗 Repository URL: https://github.com/Shujian2015/FreeML
📖 Readme: https://github.com/Shujian2015/FreeML#readme
📊 Statistics:
🌟 Stars: 1.1K stars
👀 Watchers: 118
🍴 Forks: 517 forks
💻 Programming Languages: Not available
🏷️ Related Topics:
#data_science #machine_learning #natural_language_processing #deep_learning
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🧠 By: https://t.iss.one/DataScienceN
🔥 Trending Repository: ML-From-Scratch
📝 Description: Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
🔗 Repository URL: https://github.com/eriklindernoren/ML-From-Scratch
📖 Readme: https://github.com/eriklindernoren/ML-From-Scratch#readme
📊 Statistics:
🌟 Stars: 27.8K stars
👀 Watchers: 951
🍴 Forks: 4.8K forks
💻 Programming Languages: Python
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🧠 By: https://t.iss.one/DataScienceM
📝 Description: Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
🔗 Repository URL: https://github.com/eriklindernoren/ML-From-Scratch
📖 Readme: https://github.com/eriklindernoren/ML-From-Scratch#readme
📊 Statistics:
🌟 Stars: 27.8K stars
👀 Watchers: 951
🍴 Forks: 4.8K forks
💻 Programming Languages: Python
🏷️ Related Topics:
#data_science #machine_learning #data_mining #deep_learning #genetic_algorithm #deep_reinforcement_learning #machine_learning_from_scratch
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🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: airflow
📝 Description: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
🔗 Repository URL: https://github.com/apache/airflow
🌐 Website: https://airflow.apache.org/
📖 Readme: https://github.com/apache/airflow#readme
📊 Statistics:
🌟 Stars: 41.9K stars
👀 Watchers: 764
🍴 Forks: 15.5K forks
💻 Programming Languages: Python - TypeScript - JavaScript - Shell - Dockerfile - Jinja
🏷️ Related Topics:
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🧠 By: https://t.iss.one/DataScienceM
📝 Description: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
🔗 Repository URL: https://github.com/apache/airflow
🌐 Website: https://airflow.apache.org/
📖 Readme: https://github.com/apache/airflow#readme
📊 Statistics:
🌟 Stars: 41.9K stars
👀 Watchers: 764
🍴 Forks: 15.5K forks
💻 Programming Languages: Python - TypeScript - JavaScript - Shell - Dockerfile - Jinja
🏷️ Related Topics:
#python #workflow #data_science #machine_learning #airflow #automation #etl #workflow_engine #scheduler #apache #orchestration #data_engineering #data_integration #elt #data_pipelines #dag #apache_airflow #mlops #workflow_orchestration #data_orchestrator
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🧠 By: https://t.iss.one/DataScienceM
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🔥 Trending Repository: RD-Agent
📝 Description: Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
🔗 Repository URL: https://github.com/microsoft/RD-Agent
🌐 Website: https://rdagent.azurewebsites.net/
📖 Readme: https://github.com/microsoft/RD-Agent#readme
📊 Statistics:
🌟 Stars: 8.2K stars
👀 Watchers: 59
🍴 Forks: 872 forks
💻 Programming Languages: Python - Jupyter Notebook
🏷️ Related Topics:
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🧠 By: https://t.iss.one/DataScienceM
📝 Description: Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
🔗 Repository URL: https://github.com/microsoft/RD-Agent
🌐 Website: https://rdagent.azurewebsites.net/
📖 Readme: https://github.com/microsoft/RD-Agent#readme
📊 Statistics:
🌟 Stars: 8.2K stars
👀 Watchers: 59
🍴 Forks: 872 forks
💻 Programming Languages: Python - Jupyter Notebook
🏷️ Related Topics:
#agent #data_science #development #data_mining #automation #research #ai #llm
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🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: best-of-ml-python
📝 Description: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
🔗 Repository URL: https://github.com/lukasmasuch/best-of-ml-python
🌐 Website: https://ml-python.best-of.org
📖 Readme: https://github.com/lukasmasuch/best-of-ml-python#readme
📊 Statistics:
🌟 Stars: 22.3K stars
👀 Watchers: 444
🍴 Forks: 3K forks
💻 Programming Languages: Not available
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🧠 By: https://t.iss.one/DataScienceM
📝 Description: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
🔗 Repository URL: https://github.com/lukasmasuch/best-of-ml-python
🌐 Website: https://ml-python.best-of.org
📖 Readme: https://github.com/lukasmasuch/best-of-ml-python#readme
📊 Statistics:
🌟 Stars: 22.3K stars
👀 Watchers: 444
🍴 Forks: 3K forks
💻 Programming Languages: Not available
🏷️ Related Topics:
#python #nlp #data_science #machine_learning #deep_learning #tensorflow #scikit_learn #keras #ml #data_visualization #pytorch #transformer #data_analysis #gpt #automl #jax #data_visualizations #gpt_3 #chatgpt
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🧠 By: https://t.iss.one/DataScienceM