Practical financial data science examples applying statistics, time series analysis, graph analytics, backtesting, machine learning, natural language processing, neural networks and LLMs
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            Updated
            Apr 6, 2025 
- Jupyter Notebook
Practical financial data science examples applying statistics, time series analysis, graph analytics, backtesting, machine learning, natural language processing, neural networks and LLMs
Support financial data science workflow, manage large structured and unstructured data sets, and apply financial econometrics and machine learning
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