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1. Algorithmic_Trading_with_Python Algorithmic_Trading_with_Python Public

   This comprehensive, hands-on course provides a thorough exploration into the world of algorithmic trading, aimed at students, professionals, and enthusiasts with a basic understanding of Python pro…

   Jupyter Notebook 249 56

2. ECON_5314G_Big_Data_Economics ECON_5314G_Big_Data_Economics Public

   This intermediate applied econometrics course covers the theoretical, computational, and statistical underpinnings of the big data analysis. (first taught at Virginia Tech in 2018)

   Jupyter Notebook 16 9

3. CMDA_4984_Data_Science_for_Quantitative_Finance CMDA_4984_Data_Science_for_Quantitative_Finance Public

   This course in applied data science covers the theoretical foundations of advanced quantitative approaches in machine learning, econometrics, risk and portfolio management, algorithmic trading, and…

   Jupyter Notebook 28 11

4. Machine-Learning-from-Theory-to-Practice Machine-Learning-from-Theory-to-Practice Public

   This course will introduce the student to classic machine learning algorithms and deep neural network structures. The style will be first to describe the theory and math behind algorithms and then …

   Jupyter Notebook 18 10

5. High_Dimensional_Portfolio_Estimation High_Dimensional_Portfolio_Estimation Public

   This repository contains code, models, and tools for simulating and estimating portfolios based on constant and time-varying covariance matrices.

   Jupyter Notebook 1 2

6. Quantum-Computing-Solutions-for-Econometrics Quantum-Computing-Solutions-for-Econometrics Public

   In this project, we delve into the principal constructs of quantum computing and quantum machine learning. Our primary focus resides in identifying and elucidating quantum computing solutions for t…

   Jupyter Notebook