Linear-Algebra-With-Python
Time-Series-and-Financial-Engineering-With-Python
Linear-Algebra-With-Python | Time-Series-and-Financial-Engineering-With-Python | |
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1 | 1 | |
2,160 | 45 | |
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0.0 | 1.2 | |
over 1 year ago | about 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
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Linear-Algebra-With-Python
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Python for Econometrics for Practitioners [Free Online Courses]
Linear Algebra with Python: This training will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skill sets. Suitable for statisticians, econometricians, quantitative analysts, data scientists, etc. to quickly refresh linear algebra with the assistance of Python computation and visualization. Core concepts covered are: linear combination, vector space, linear transformation, eigenvalues and -vector, diagnolization, singular value decomposition, etc.
Time-Series-and-Financial-Engineering-With-Python
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Python for Econometrics for Practitioners [Free Online Courses]
Time Series, Financial Engineering and Algorithmic Trading with Python: This is a compound training sessions of time series analysis, financial engineering and algorithmic trading, the Part I covers basic time series concepts such as ARIMA, GARCH ans (S)VAR, also cover more advanced theory such as State Space Model and Hidden Markov Chain. The Part II covers the basics of financial engineering such bond valueation, portfolio optimization, Black-Scholes model and various stochatic process models. The Part III will demonstrate the practicalities, e.g. algorithmic trading. The training will try to explain the mathematical mechanism behind each theory, rather than forcing you to memorize a bunch of black box operations.
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