- Econometrics-With-Python VS eip1559_analysis
- Econometrics-With-Python VS Bayesian-Statistics-Econometrics
- Econometrics-With-Python VS Time-Series-and-Financial-Engineering-With-Python
- Econometrics-With-Python VS hyperlearn
- Econometrics-With-Python VS fecon235
- Econometrics-With-Python VS Linear-Algebra-With-Python
Similar projects and alternatives to Econometrics-With-Python
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
A series of lessons on time series analysis 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.
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
Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand.
Learn any GitHub repo in 59 seconds. Onboard AI learns any GitHub repo in minutes and lets you chat with it to locate functionality, understand different parts, and generate new code. Use it for free at www.getonboard.dev.
Econometrics-With-Python reviews and mentions
Python for Econometrics for Practitioners [Free Online Courses]
5 projects | /r/CompSocial | 24 Aug 2023
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.
weijie-chen/Econometrics-With-Python is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of Econometrics-With-Python is Jupyter Notebook.