Data Science Jupyter Notebooks
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Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
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🔥 Trending Repository: awesome-RLHF

📝 Description: A curated list of reinforcement learning with human feedback resources (continually updated)

🔗 Repository URL: https://github.com/opendilab/awesome-RLHF

📖 Readme: https://github.com/opendilab/awesome-RLHF#readme

📊 Statistics:
🌟 Stars: 4.1K stars
👀 Watchers: 63
🍴 Forks: 246 forks

💻 Programming Languages: Not available

🏷️ Related Topics:
#reinforcement_learning #deep_learning #deep_reinforcement_learning #large_language_models #human_feedback #rlhf


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🧠 By: https://yangx.top/DataScienceN
🔥 Trending Repository: awesome-deep-trading

📝 Description: List of awesome resources for machine learning-based algorithmic trading

🔗 Repository URL: https://github.com/cbailes/awesome-deep-trading

📖 Readme: https://github.com/cbailes/awesome-deep-trading#readme

📊 Statistics:
🌟 Stars: 1.7K stars
👀 Watchers: 76
🍴 Forks: 327 forks

💻 Programming Languages: Not available

🏷️ Related Topics:
#machine_learning #deep_neural_networks #deep_learning #trading_bot #deep_reinforcement_learning #cryptocurrency #fintech #trading_algorithms #quantitative_trading #stock_trading #frequency_trading #deep_trading #trading_bots


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🧠 By: https://yangx.top/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

🏷️ 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://yangx.top/DataScienceM