Linear-Algebra-With-Python
Bayesian-Statistics-Econometrics
| Linear-Algebra-With-Python | Bayesian-Statistics-Econometrics | |
|---|---|---|
| 1 | 1 | |
| 2,160 | 71 | |
| - | - | |
| 0.0 | 10.0 | |
| over 1 year ago | over 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.
Bayesian-Statistics-Econometrics
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Python for Econometrics for Practitioners [Free Online Courses]
Bayesian Statistics with Python: Bayesian statistics is the last pillar of quantitative framework, also the most challenging subject. The course will explore the algorithms of Markov chain Monte Carlo (MCMC), specifically Metropolis-Hastings, Gibbs Sampler and etc., we will build up our own toy model from crude Python functions. In the meanwhile, we will cover the PyMC3, which is a library for probabilistic programming specializing in Bayesian statistics.
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