Econometrics-With-Python
Basic-Statistics-With-Python
Econometrics-With-Python | Basic-Statistics-With-Python | |
---|---|---|
1 | 1 | |
250 | 89 | |
- | - | |
10.0 | 10.0 | |
over 1 year ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Econometrics-With-Python
-
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.
Basic-Statistics-With-Python
-
Python for Econometrics for Practitioners [Free Online Courses]
Basic Statistics with Python: These notes aim to refresh the essential concepts of frequentist statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand. We were spending roughly three hours in total to cover all sections.
What are some alternatives?
Time-Series-and-Financial-Engineering-With-Python - A series of lessons on time series analysis with Python
eip1559_analysis - Can we estimate the economic impact of EIP-1559 on miners? This repository try to estimate the loss of miners' revenue coming from transactions fees, using Ethereum historical data.
Linear-Algebra-With-Python - Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
Bayesian-Statistics-Econometrics - Bayesian Statistics-Econometrics
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
fecon235 - Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics