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Dong Luo's Projects

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Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

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Derivatives Analytics with Python (Wiley Finance)

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This git repository is based on the work of J.Heaton, N.Polson and J.Witte and their articleDeep Learning for Finance: Deep Portfolios. This paper let us explore the use of deeplearning models for problems in financial prediction and classification. Our goal isto show how applying deep learning methods to these problems can produce betteroutcomes than standard methods in finance or in Machine Learning

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Scripts for working with data from Google Finance

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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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Resources for "Introduction to Deep Learning" course.

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Listed Volatility and Variance Derivatives (Wiley Finance)

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Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforcement Learning, Computer Vision).

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My Solution to the Programming Assignments for Practical Reinforcement Learning from Coursera

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Jupyter Notebooks and codes for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

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