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Top 6 Jupyter Notebook Economic Projects
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EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of
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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
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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Econometrics-With-Python
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly without hustles of derivation and Python codes are straightforward.
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Business-Valuation-with-Discounted-Cash-Flow-In-Python
Stocks and Assets Valuation via Discounted Cash Flow with Python
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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.
Project mention: Financial Economics: Financial Economics Models. Extended Research - star count:1033.0 | /r/algoprojects | 2023-12-10
Project mention: Python for Econometrics for Practitioners [Free Online Courses] | /r/CompSocial | 2023-08-24Econometrics 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.
You can find the code with an example valuing Chipotle (CMG) on GitHub or this Colab File (They are both the same and identical).
Jupyter Notebook Economics related posts
- [D] What approach to decide which class is most optimal for recovery?
- Getting treatment effects from a random forest
- EconML: A Python Package for ML-Based Heterogeneous Treatment Effects Estimation
- [N] Spotify Confidence - open source for analyzing a/b test data
- Warning for New Ethereum Miners please stop investing in new mining rigs
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A note from our sponsor - WorkOS
workos.com | 23 Apr 2024
Index
What are some of the best open-source Economic projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | EconML | 3,540 |
2 | fecon235 | 1,088 |
3 | Econometrics-With-Python | 250 |
4 | cpi | 127 |
5 | Business-Valuation-with-Discounted-Cash-Flow-In-Python | 40 |
6 | eip1559_analysis | 12 |
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