Econometrics-With-Python
Linear-Algebra-With-Python
Econometrics-With-Python | Linear-Algebra-With-Python | |
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1 | 1 | |
250 | 2,160 | |
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10.0 | 0.0 | |
over 1 year ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
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Econometrics-With-Python
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Python for Econometrics for Practitioners [Free Online Courses]
Econometrics with Python: This is a crash course for reviewing the most important concepts and techniques of econometrics. The theories are presented lightly without hustles of mathematical derivation and Python codes are mostly procedural and straightforward. Core concepts covered: multi- linear regression, logistic model, dummy variable, simultaneous equations model, panel data model and time series.
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.
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